JP7428876B2 - sensor device - Google Patents

Description

The present invention relates to a sensor device capable of detecting the direction of a swing motion of a detection target.

Conventionally, there are motion sensor devices that detect the movement of a detection target such as a person. The main types of motion sensor devices are those that install an acceleration sensor or gyro sensor on the detection target, and those that process moving images captured by a camera.

Furthermore, there is a type of motion sensor device that detects the movement of the detection target by transmitting a wireless signal to the detection target, receiving a signal reflected by the detection target, and analyzing the received signal. This kind of type is described in, for example, Patent Document 1.

Special table 2018-517885 publication

By the way, a type of sensor device in which an acceleration sensor or a gyro sensor is installed on the detection target has a drawback that the range of application is limited because the device must be installed on the detection target itself. For example, it is not suitable when the detection target is a finger or the like.

Further, sensor devices of the type that process moving images have the disadvantage that they are unsuitable for use in detecting high-speed detection targets from the viewpoint of frame rate. Incidentally, if a high-speed camera with a high frame rate is used, it is possible to handle high-speed detection targets, but since high-speed cameras are expensive, they are not always available. In addition, signal processing to extract a detection target from high-rate image data captured by a high-speed camera and estimate its motion is also complex and sophisticated processing, making it difficult to achieve real-time performance.

Furthermore, the wireless sensor device described in Patent Document 1 can overcome the above-mentioned drawbacks of sensor devices that install an acceleration sensor or gyro sensor, and sensor devices that process moving images. Conceivable.

However, the sensor device of Patent Document 1 is configured to detect the velocity of multiple locations of the detection target and integrate the difference between the respective velocities to determine the motion trajectory of each location, which increases the amount of calculations. There are drawbacks. Moreover, since the sensor device of Patent Document 1 is actually based on the premise of using a radar signal, a modulator and the like are required, which makes the configuration accordingly complicated.

The present invention has been made in consideration of the above points, and provides a sensor device capable of detecting the direction of a swing motion of a detection target with a simple configuration.

One embodiment of the sensor device of the present invention is
a transmitting antenna that transmits a carrier wave toward a detection target that makes a swinging motion;
a plurality of receiving antennas each arranged at a different position and receiving reflected waves of the carrier wave from the detection target;
an analysis unit that estimates at least the direction of the swing motion of the detection target by analyzing the correlation of the reflected waves received by the plurality of receiving antennas;
Equipped with.

According to the present invention, the direction of the swing motion of the detection target can be detected with a simple configuration.

External configuration diagram of a sensor device according to an embodiment Block diagram showing the internal configuration of the sensor device Flowchart showing the processing procedure of the swing motion analysis section Figure 4A is a diagram showing an example of time-frequency analysis obtained when the detection target (finger) is made to swing relatively quickly, and Figure 4B is a diagram showing an example of time-frequency analysis obtained when the detection target (finger) is made to swing relatively slowly. Diagram showing an example of time-frequency analysis FIG. 5A is a diagram showing an example of the arrangement of the receiving antenna, and FIG. 5B is a diagram showing the swing motion direction φ of the detection target. Diagram used to explain when the detection target swings upward FIGS. 7A and 7B are diagrams for explaining the case where the detection target swings upward. Diagram used to explain when the detection target swings downward FIGS. 9A and 9B are diagrams for explaining the case where the detection target is swung so as to be swung down. Block diagram showing another configuration example 1 of the sensor device Block diagram showing another configuration example 2 of the sensor device Block diagram showing another configuration example 3 of the sensor device Block diagram showing another configuration example 4 of the sensor device

Embodiments of the present invention will be described below with reference to the drawings.

<1> Basic Configuration FIG. 1 is an external configuration diagram of a sensor device 100 according to an embodiment. The sensor device 100 is, for example, what is called a motion sensor. The sensor device 100 is connected to, for example, a display device (not shown), and the display device sweeps a displayed image according to the moving direction of the finger detected by the sensor device 100. However, the scope of application of the sensor device 100 is not limited to this, and can be widely applied as a device for detecting the movement of a detection target.

A transmitting antenna Tx1 and receiving antennas Rx1 to Rx3 are arranged on the same surface of the sensor device 100. The sensor device 100 detects the movement of a detection target located at a position facing the transmitting antenna Tx1 and the receiving antennas Rx1 to Rx3.

The transmitting antenna Tx1 radiates a carrier wave toward a detection target (in the case of this embodiment, a finger) that swings. The receiving antennas Rx1 to Rx3 receive reflected waves from the detection target.

Note that in this embodiment, the detection target is a finger, but the detection target is not limited to a finger. Further, the transmitting antenna Tx1 and the receiving antennas Rx1 to Rx3 do not necessarily need to be arranged on the same plane. However, it is preferable that the transmitting antenna Tx1 and the receiving antennas Rx1 to Rx3 are arranged at positions facing the detection target. Further, the number of transmitting antennas may be two or more, and the number of receiving antennas may be four or more.

FIG. 2 is a block diagram showing the internal configuration of the sensor device 100.

A 24 GHz carrier wave generated by an oscillator 101 is input to the transmitting antenna Tx1 via a power amplifier 102. Thereby, the transmitting antenna Tx1 continuously radiates a 24 GHz carrier wave toward the detection target.

The carrier wave radiated from the transmitting antenna Tx1 reaches the detection target (finger) during the swing motion, and a part of the carrier wave that has reached the detection target is reflected from the detection target toward the sensor device 100 side as a reflected wave. At this time, the frequency of the reflected wave shifts from the frequency of the original carrier wave according to the motion speed of the detection target.

Reception signals output from reception antennas Rx1 to Rx3 are amplified by low noise amplifiers (LNA) 111 to 113, respectively, and then input to mixers 121 to 123. Mixers 121 to 123 down-convert the received signal to 0 Hz by multiplying the received signal by a carrier signal.

The down-converted received signal is subjected to analog-to-digital conversion after frequency components other than the Doppler frequency derived from the assumed speed of the detection target (for example, 10 to 40 km/h) are removed by band pass filters (BPF) 131 to 133. The signals are input to the swing motion analysis unit 150 via the ADCs (ADCs) 141 to 143. The pass bands of the band pass filters (BPF) 131 to 133 are, for example, 500 Hz to 2 kHz.

The swing motion analysis unit 150 estimates the swing direction and swing speed of the detection target by analyzing the received signal data output from the analog-to-digital converters (ADCs) 141 to 143.

<2> Processing of the swing motion analysis unit 150 FIG. 3 is a flowchart showing the processing procedure of the swing motion analysis unit 150.

In step S1, swing motion analysis section 150 determines whether the amplitude value of the received signal is larger than a predetermined threshold. Specifically, received signal data that is continuously acquired from time to time is extracted every specific period, and a check is made to see if the value of the extracted received signal data exceeds a predetermined threshold. Here, the fact that a positive result is obtained in step S1 (step S1; YES) means that there is a possibility that the detection target is making a swinging motion. If the swing motion analysis unit 150 obtains a positive result in step S1, it moves to step S2. The process in step S1 is performed for each received signal data output from each analog-to-digital converter (ADC) 141 to 143.

In step S2, the swing motion analysis unit 150 performs time-frequency analysis on the received signal data for which a positive result was obtained in step S1 (that is, for the received signal data in which a swing motion may have been detected). Execute. In the case of this embodiment, swing motion analysis section 150 performs time-frequency analysis by performing continuous wavelet transform. Further, in the case of the present embodiment, a complex Morley function optimized for the swing motion of the detection target is used as the mother wavelet function used in the continuous wavelet transform. Note that the time-frequency analysis method is not necessarily limited to this.

Figure 4A shows a heat map (spectrogram) of the analysis results when time-frequency analysis was performed using continuous wavelet transform on the received signal data obtained when the detection target (finger) made a relatively fast swinging motion. FIG. On the other hand, FIG. 4B shows a heat map (spectrogram) of the analysis results when time-frequency analysis is performed using continuous wavelet transform on the received signal data obtained when the detection target (finger) swings relatively slowly. ). Note that in FIG. 4, the vertical axis represents velocity (m/s), but the vertical axis may be considered to be frequency (that is, Doppler frequency).

In the case of the embodiment, since three received signals are obtained using three receiving antennas Rx1 to Rx3, swing motion analysis section 150 obtains the spectrogram shown in FIG. 4 for each received signal. The time of occurrence of the maximum spectrum in this spectrogram (in other words, the time when the frequency is at its maximum) corresponds to the time of reception of the reflected wave caused by the swing.

In the subsequent step S3, the swing motion analysis unit 150 detects the maximum spectrum from the analysis results for each received signal, and extracts the occurrence time, frequency, and/or amplitude of the maximum spectrum. Specifically, the swing motion analysis unit 150 detects the point at which the amplitude is maximum from among the spectrum expanded on the time-frequency dimension as shown in FIG. 4, and determines the occurrence time of the detected maximum spectrum, Extract frequency and/or amplitude.

In subsequent step S4, swing motion analysis section 150 determines whether the time, frequency, and/or amplitude of the maximum spectrum extracted in step S3 is within a predetermined range. Specifically, the process in step S3 is performed on received signal data of specific periods extracted before and after in time, and in step S4, the generation time of the maximum spectrum for the periods before and after in time is performed. , frequency and/or amplitude are within a predetermined range.

In step S4, the swing motion analysis unit 150 determines whether the occurrence time, frequency, and/or amplitude of the maximum spectrum for temporally preceding and succeeding periods are within a predetermined range, and if a negative result is obtained (step If S4; NO), the process moves to step S5, and if a positive result is obtained (step S4; YES), the process returns to step S1. Incidentally, the determination in step S4 can also be said to determine whether the detected maximum spectrum is a spectrum generated by the movement of the detection target.

In fact, in step S4, determination can be made using any one or a combination of two or more of the maximum spectrum occurrence time, frequency, and amplitude. For example, when using the occurrence time of the maximum spectrum and the difference in the occurrence time of the maximum spectrum between temporally preceding and succeeding periods is not within a predetermined range (that is, when the difference in the occurrence time is larger than a predetermined value), Since this means that there is a high possibility that the detection target has moved, the process moves to step S5 to perform estimation processing of the speed and direction in which the detection target has moved. Similarly, for example, when using the frequency of the maximum spectrum and the difference in frequency of the maximum spectrum for successive periods in time is not within a predetermined range (i.e., when the difference in frequency is larger than a predetermined value), Since this means that there is a high possibility that the detection target has moved, the process can proceed to step S5 to estimate the speed and direction in which the detection target has moved. Similarly, for example, when the amplitude of the maximum spectrum is used and the difference in the amplitude of the maximum spectrum for successive periods in time is not within a predetermined range (i.e., when the difference in amplitude is larger than a predetermined value), this Since this means that there is a high possibility that the detection target has moved, the process can proceed to step S5 to estimate the speed and direction in which the detection target has moved.

Here, in the processing example of FIG. 4, in step S1 it is roughly determined whether there is a possibility that the detection target has moved, and in step S4 it is determined more precisely whether there is a possibility that the detection target has moved. , the process moves on to the estimation process in step S5. By doing so, the amount of calculation can be reduced compared to the case where the estimation process in step S5 is performed on all received signal data. Note that the determination processing in step S1 and step S4 may be omitted depending on the case. However, if this is done, there is a high possibility that the amount of calculation will increase. Incidentally, by making the determination in step S1, the amount of processing in subsequent steps S2 and S3 can be reduced, and by making the determination in step S4, the amount of processing in step S5 that follows can be reduced.

In step S5, the swing motion analysis unit 150 estimates the swing speed of the analysis target based on the frequency of the maximum spectrum of each received signal, and also estimates the swing direction based on the time of occurrence of the maximum spectrum and the relationship between the arrangement of the receiving antennas. Estimate.

Specifically, when deriving the speed of the detection target, the swing motion analysis unit 150 calculates that the maximum spectral frequencies of the reception signals received by the reception antennas Rx1, Rx2, and Rx3 are f ₁ , f ₂ , and f , respectively. ₃ , the average value of the three frequencies is determined as a representative value according to the following formula, and the spectral frequency is determined using the carrier wave wavelength λ (in this embodiment, the carrier wave frequency is 24 GHz, so λ≒1.25 cm). Convert to velocity v.

Further, when estimating the swing direction, the swing motion analysis unit 150 takes into account the physical placement position of the receiving antenna in addition to the time of occurrence of the maximum spectrum. Assuming that the receiving antennas Rx1, Rx2, and Rx3 are placed in a relationship as shown in FIG. 5A, the swing motion direction φ (FIG. 5B) of the detection target is determined by the received signal received by each of the receiving antennas Rx1, Rx2, and Rx3. It can be derived from the maximum spectrum times t ₁ , t ₂ , and t ₃ using the following equation.

<3> Principle of Detection of Swing Movement Direction Next, the principle of detection of the swing movement direction performed by the swing movement analysis section 150 will be described. Here, in order to simplify the explanation, an example will be explained in which there is one transmitting antenna and two receiving antennas, as shown in FIG.

First, as shown in FIG. 6, let us consider how the power of the reflected waves received by the receiving antennas Rx1 and Rx2 changes when the detection target swings upward.

As the angle of the detection target changes moment by moment due to the swing motion, the power of the reflected waves received by each of the receiving antennas Rx1 and Rx2 also changes. As long as there is no special directivity in the reflection of the detection target, first, as shown in FIG. When the positional relationship is reached, the received power on the receiving antenna R2 side reaches its peak.

After that, as the swing motion progresses further, as shown in FIG. 7B, the perpendicular line extending from the detection target becomes in a positional relationship that bisects the angle formed by the transmitting antenna Tx1 - the detection target - the receiving antenna Rx1, and this At this point, the received power on the receiving antenna R1 side also reaches its peak with a delay from the receiving antenna Rx2 side.

As shown in FIG. 8, a case in which the detection target swings downward can be similarly considered. In other words, as is clear from FIGS. 9A and 9B, contrary to the case where the detection target is raised, the received signal on the receiving antenna Rx1 side peaks earlier than the received signal on the receiving antenna Rx2 side. .

From the above considerations, by detecting which received signal of the receiving system with the receiving antenna Rx1 or the receiving system with the receiving antenna Rx2 showed a peak first, it is possible to determine whether the swing motion to be detected is a swing-up motion. , or whether it is a swing-down motion. This embodiment utilizes this to estimate the direction of the swing motion of the detection target.

Although not explained in detail, similarly, if the three receiving antennas Rx1 to Rx3 as in the above embodiment are arranged so that all the receiving antennas are not lined up on the same straight line, the detection target (In other words, the swing direction of the object to be detected can be estimated two-dimensionally.) In other words, it is clear that if the three receiving antennas Rx1 to Rx3 are arranged so that they are not lined up on the same straight line, a relationship will appear in each of the vertical and horizontal directions. The direction of the swing motion can be estimated two-dimensionally based on the relative relationship between the peak times of the received signals of each of the receiving antennas Rx1 to Rx3.

Furthermore, the speed of the detection target can also be estimated based on fluctuations in the Doppler frequency. Therefore, in the embodiment, it can be said that the movement of the detection target is estimated three-dimensionally in total, including the swing direction and speed.

Furthermore, by arranging the four receiving antennas so that they are not all lined up on the same plane, it is possible to three-dimensionally estimate the vertical, horizontal, and depth directions, that is, the swing direction of the detection target. Furthermore, the speed of the detection target can also be estimated based on fluctuations in the Doppler frequency. Therefore, by using four or more receiving antennas, it is possible to estimate the movement of the detection target in a total of four dimensions, including the swing direction and speed.

<4> Summary As explained above, according to the present embodiment, the transmitting antenna Tx1 transmits a carrier wave toward a detection target that makes a swing motion, and the reflected wave of the carrier wave from the detection target is arranged at different positions. a swing motion analysis unit 150 that estimates at least the direction of the swing motion of the detection target by analyzing the correlation between the plurality of receiving antennas Rx1 to Rx3 that receive the plurality of receiving antennas Rx1 to Rx3 and the reflected waves received by the plurality of receiving antennas Rx1 to Rx3; By having this, it is possible to realize the sensor device 100 that can detect the direction of the swing motion of the detection target with a simple configuration.

<5> Other embodiments The embodiments described above are merely examples of implementation of the present invention, and the technical scope of the present invention should not be construed as limited by these embodiments. It is something that cannot happen. That is, the present invention can be implemented in various forms without departing from its gist or main features.

In the embodiment described above, the swing motion analysis unit 150 determines the speed of the swing motion of the detection target based on the frequency of the reflected waves received by the plurality of receiving antennas Rx1 to Rx3 in addition to the direction of the swing motion of the detection target. Although the case of estimation has been described, only the direction of the swing motion may be estimated.

Furthermore, in the above-described embodiment, the swing motion analysis unit 150 mainly determines the reception time of the reflected waves that reached each of the reception antennas Rx1 to Rx3 (specifically, the frequency at each of the reception antennas Rx1 to Rx3). Although the case has been described in which the direction of the swing motion of the detection target is estimated by analyzing the correlation between the receiving antennas Rx1 to Rx3 with respect to the maximum time), the present invention is not limited to this.

In the embodiment described above, a case has been described in which the carrier wave transmitted from the transmitting antenna Tx1 is a 24 GHz radio wave, but the frequency of the carrier wave is not limited to this, and the carrier wave may be a sound wave, for example.

The swing motion analysis unit 150 calculates the power, phase, or frequency of the reflected waves that have arrived at each of the receiving antennas Rx1 to Rx3, instead of the reception time of the reflected waves that have reached each of the receiving antennas Rx1 to Rx3. The direction of the swing motion of the detection target may be estimated by analyzing the correlation between Rx1 to Rx3.

<5-1> Other configuration example 1
In the above-described embodiment, the swing motion analysis unit 150 performs time-frequency analysis, obtains a spectrogram, and obtains the occurrence time of the maximum spectrum in this spectrogram as the time of the peak appearing in the reflected wave. However, the present invention is not limited to this, and the received power of each of the receiving antennas Rx1 to Rx3 may be calculated, and the swing motion analysis section may obtain the time when the received power shows the maximum amplitude as the time corresponding to the peak time appearing in the reflected wave. Good too.

FIG. 10, in which parts corresponding to those in FIG. 2 are denoted by the same reference numerals, shows, as another configuration example 1, the configuration of a sensor device that realizes such processing.

In the sensor device 200 of FIG. 10, compared to the sensor device 100 of FIG. By continuing to calculate the amplitude level of the received signal, the envelope curve indicating the change in the amplitude level of the received signal is continuously derived. Specifically, the received signal of each receiving antenna Rx1 to Rx3 is multiplied by a carrier wave by mixers 121a, 122a, and 123a to obtain a down-converted I component, and the down-converted I component is obtained by the phase shifter 201 by mixers 121b, 122b, and 123b. A down-converted Q component is obtained by multiplying by a 90° phase-shifted carrier wave. The I component of the received signal output from the mixers 121a, 122a, 123a is passed through band pass filters (BPF) 131a, 132a, 133a and analog-to-digital converters (ADC) 141a, 142a, 143a to a square sum processing unit 211, It is input to 212 and 213. On the other hand, the Q components of the received signals output from the mixers 121b, 122b, 123b are passed through band pass filters (BPF) 131b, 132b, 133b and analog-to-digital converters (ADC) 141b, 142b, 143b to a square sum processing section. 211, 212, and 213.

The square sum processing units 211, 212, and 213 obtain the envelope (received power) of the received signal by calculating the square sum of the I component and the Q component, respectively. Subsequent peak time detection units 221 , 222 , and 223 detect the peak time of the envelope (that is, the peak time of received power), and output the detected time to the swing motion analysis unit 230 .

While the swing motion analysis section 150 estimates the swing direction based on the time of occurrence of the maximum spectrum, the swing motion analysis section 230 estimates the swing direction based on the peak time of the received power input from the peak time detection sections 221, 222, and 223. The swing direction is estimated using the same method as the swing motion analysis section 150.

Although not shown in the configuration of FIG. 10, detection of the occurrence of swing motion is always performed using output data of separate analog-to-digital converters (ADCs) 141a, 141b, 142a, 142b, 143a, and 143b. The swing motion analysis unit 230 may estimate the swing direction based on the detection results of peak times detected before and after the timing at which the occurrence of the swing motion is detected.

<5-2> Other configuration example 2
In the above-described embodiment and other configuration example 1, a case has been described in which the swing direction is estimated based on the correlation between the peak occurrence times of the received signals of the respective receiving antennas Rx1 to Rx3. The swing direction may be estimated based on the phase correlation of the Rx3 received signal.

FIG. 11, in which parts corresponding to those in FIG. 10 are denoted by the same reference numerals, shows, as another configuration example 2, the configuration of a sensor device that implements such processing.

The sensor device 300 in FIG. 11 differs from the sensor device 200 in FIG. has. Phase calculation units 311, 312, and 313 calculate the value of each received signal based on the ratio of received signals (I/Q signals) output from analog-to-digital converters (ADCs) 141a, 141b, 142a, 142b, 143a, and 143b, respectively. The phase is calculated and output to the swing motion analysis section 320.

The swing motion analysis section 320 estimates the swing direction based on the phases input from the phase calculation sections 311, 312, and 313. Here, since the change in the time of the peak appearing in the reflected wave and the change in the phase of the reflected wave are in a corresponding relationship, the swing direction is estimated based on the correlation between the peak occurrence times of the received signals of the receiving antennas Rx1 to Rx3. Using a similar concept, the swing direction can be estimated based on the phase correlation (phase difference (or variation in phase difference)) of the received signals of the receiving antennas Rx1 to Rx3.

Although not shown in the configuration of FIG. 11, detection of the occurrence of swing motion is always performed using output data of separate analog-to-digital converters (ADCs) 141a, 141b, 142a, 142b, 143a, and 143b. The swing motion analysis unit 320 may estimate the swing direction based on the phase difference (or fluctuation of the phase difference) between the received signals before and after the timing at which the occurrence of the swing motion is detected.

Furthermore, in the configuration example shown in FIG. 11, the phase of each received signal is directly determined from the I/Q data output from analog-to-digital converters (ADCs) 141a, 141b, 142a, 142b, 143a, and 143b. , the phase difference (or variation in phase difference) between each received signal may be calculated on the frequency dimension by performing transformation into the frequency dimension such as fast Fourier transform processing or wavelet transform processing.

<5-3> Other configuration example 3
In the above-described embodiment and other configuration example 1, a case has been described in which the swing direction is estimated based on the correlation between the peak occurrence times of the received signals of the respective receiving antennas Rx1 to Rx3. The swing direction may be estimated based on the frequency correlation of the Rx3 received signal.

FIG. 12, in which parts corresponding to those in FIG. 2 are denoted by the same reference numerals, shows, as another configuration example 3, the configuration of a sensor device that implements such processing.

The sensor device 400 in FIG. 12 has frequency analysis sections 411, 412, and 413, as compared to the sensor device 100 in FIG. Note that in the sensor device 400, band pass filters (BPF) 131, 132, and 133 are omitted. Frequency analysis units 411, 412, and 413 sequentially perform fast Fourier transform processing and wavelet transform on received signal data output from analog-to-digital converters (ADCs) 141, 141, 142, 142, 143, and 143, respectively. By performing frequency analysis processing, the frequency of the received signal component generated due to the swing motion of the detection target is output.

The swing motion analysis section 420 estimates the swing direction based on the frequencies input from the frequency analysis sections 411, 412, and 413. Here, since there is a corresponding relationship between a change in the time of the peak appearing in the reflected wave and a change in the frequency of the reflected wave, the swing direction is estimated based on the correlation between the peak occurrence times of the received signals of the receiving antennas Rx1 to Rx3. Using a similar concept, the swing direction can be estimated based on the correlation (ratio or difference) of the frequencies of the received signals of the receiving antennas Rx1 to Rx3.

Although not shown in the configuration of FIG. 12, detection of the occurrence of swing motion is always performed using output data of separate analog-to-digital converters (ADCs) 141, 142, and 143, and the swing motion analysis unit 320 The swing direction may be estimated based on the frequency ratio or difference between the received signals before and after the timing at which the occurrence of the swing movement is detected.

Furthermore, in the configuration example shown in FIG. 12, a configuration is adopted in which frequency analysis is performed on the output signals from analog-to-digital converters (ADCs) 141, 142, and 143. The swing direction may be estimated from the relationship between the fluctuation rate (ie, angular velocity) of the received signal phase.

<5-4> Other configuration example 4
In the sensor device 200 shown in FIG. 10, a case has been described in which the swing motion analysis section 230 estimates the swing direction based on the peak time of the received power input from the peak time detection sections 221, 222, and 223. Instead of the peak time of , the swing direction may be estimated based on the ratio or difference in received power.

FIG. 13, in which parts corresponding to those in FIG. 10 are denoted by the same reference numerals, shows, as another configuration example 4, the configuration of a sensor device that realizes such processing.

In the sensor device 500 of FIG. 13, the peak time detection units 221, 222, and 223 are omitted compared to the sensor device 200 of FIG. Enter it as is.

Swing motion analysis section 510 estimates the swing direction based on the correlation (ratio or difference) of the received power conversion values of each receiving antenna Rx1 to Rx3 inputted from square sum processing sections 211, 212, and 213.

INDUSTRIAL APPLICATION This invention is suitable for a motion sensor, for example.

100, 200, 300, 400, 500 Sensor device 101 Oscillator 102 Power amplifier 111-113 Low noise amplifier 121-123 Mixer 131-133 Bandpass filter (BPF)
141 to 143 Analog-to-digital converter (ADC)
150, 230, 320, 420, 510 Swing motion analysis section 201 Phase shifter 211-213 Square sum processing section 221-223 Peak time detection section 311-313 Phase calculation section 411-413 Frequency analysis section Tx1 Transmission antenna Rx1-Rx3 Reception antenna

Claims (2)

a transmitting antenna that transmits a carrier wave toward a detection target that makes a swinging motion;
a plurality of receiving antennas each arranged at a different position and receiving reflected waves of the carrier wave from the detection target;
an analysis unit that estimates at least the direction of the swing motion of the detection target by analyzing the correlation of the reflected waves received by the plurality of receiving antennas;
Equipped with
The analysis unit estimates the direction by analyzing the correlation between each reception antenna with respect to the frequency of the reflected wave that has reached each reception antenna.
sensor device. a transmitting antenna that transmits a carrier wave toward a detection target that makes a swinging motion;
a plurality of receiving antennas each arranged at a different position and receiving reflected waves of the carrier wave from the detection target;
an analysis unit that estimates at least the direction of the swing motion of the detection target by analyzing the correlation of the reflected waves received by the plurality of receiving antennas;
Equipped with
The receiving antennas are four or more and are arranged so that they are not all lined up on the same plane.
sensor device.

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