Millimeter wave radar same-frequency anti-interference method and device and medical equipment applying same

Abstract

The application discloses a millimeter wave radar same-frequency anti-interference method and device and medical equipment applying same, and relates to the technical field of medical equipment, in particular to a millimeter wave radar same-frequency anti-interference method and device and medical equipment applying same. The method comprises the following steps: acquiring signal transient characteristics of a digital transmission signal of a millimeter wave radar; acquiring demodulation information and signal transient characteristics of a digital receiving signal of the millimeter wave radar; comparing whether the signal transient characteristics of the digital transmission signal are consistent with the signal transient characteristics of the digital receiving signal; and determining whether to output or discard the demodulation information of the digital receiving signal according to a comparison result. The application realizes the effect of same-frequency anti-interference by collecting instantaneous signals of the millimeter wave radar and extracting characteristic information of the instantaneous signals on the basis of keeping the performance of the antenna unchanged, and improves the sign perception accuracy of the application equipment.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of target detection, and particularly relates to a millimeter wave radar detection technology for sensing vital signs, and especially relates to a millimeter wave radar anti-interference method and device at the same frequency and application of a medical equipment. BACKGROUND

[0002] The millimeter wave radar is a radar working in the millimeter wave band for detection, and the wavelength is between microwaves and centimeter waves, so the millimeter wave radar has some advantages of microwave radars and photoelectric radars. The current mainstream millimeter wave radar technology includes 24 GHz millimeter wave radar technology and 77 GHz millimeter wave radar technology. The 77 GHz millimeter wave radar technology can design more transceiver elements and form a larger aperture than the 24 GHz millimeter wave radar, so as to obtain a narrower beam and improve the angle measurement accuracy.

[0003] Since the 77 GHz millimeter wave radar device has the characteristics of higher resolution and smaller volume, the medical equipment for sensing human vital signs tends to use the 77 GHz millimeter wave radar technology. The medical equipment for sensing human vital signs is generally installed in a room, and in a sensing scene of 2-3 people, multiple devices are installed for sensing respectively. Since the circuits and signal characteristics of these devices are basically the same, they are easy to interfere with each other.

[0004] It is known that Chinese patent application CN202110961265.8 controls the antenna parameter performance through a CPU chip to improve the signal-to-noise ratio and the anti-interference purpose. Chinese patent application CN202110956779.4 also realizes the anti-interference technology by improving the antenna. However, the limitation of these methods is that these methods cannot filter out the same frequency and coherent interference signals. At the same time, improving the antenna needs more supercomputing resources for simulation and a large amount of operation, needs an expensive vector network analyzer and a darkroom for testing and testing, and the cost is large, and the improvement is not obvious. SUMMARY

[0005] The application aims to disclose a millimeter wave radar anti-interference method and device based on signal transient feature recognition to filter out other same frequency interference signals, realize the same frequency anti-interference effect, and improve the accuracy of the millimeter wave radar sensing result.

[0006] According to a first aspect of the application, a millimeter wave radar anti-interference method is disclosed, comprising:

[0007] Obtaining the signal transient feature of the digital transmission signal of the millimeter wave radar;

[0008] Obtaining the demodulation information and the signal transient feature of the digital receiving signal of the millimeter wave radar;

[0009] comparing the signal transient feature of the digital transmitting signal with the signal transient feature of the digital receiving signal, and determining whether to output or discard the demodulation information of the digital receiving signal according to a comparison result.

[0010] In some other examples, the signal transient feature includes a peak number, an amplitude variance, a duration, and a transient power normalized average value.

[0011] In some other examples, the signal transient feature of the digital transmitting signal of the millimeter wave radar is obtained by: when the digital transmitting signal is transmitted, the digital transmitting module transmits the digital transmitting signal and a synchronization pulse to a cache module for local caching.

[0012] In some other examples, the demodulation information and the signal transient feature of the digital receiving signal of the millimeter wave radar are obtained by: based on the demodulation information, the synchronization pulse of the digital receiving signal is extracted.

[0013] In some other examples, a difference between the signal transient feature of the digital transmitting signal and the signal transient feature of the digital receiving signal is calculated, and the difference is compared with a set threshold value to determine whether the signal transient feature of the digital receiving signal is consistent with the signal transient feature of the digital transmitting signal.

[0014] According to a second aspect of the present application, a millimeter wave radar anti-jamming device is disclosed, which includes: a feature extraction unit configured to obtain a signal transient feature of a digital transmitting signal of the millimeter wave radar, and obtain demodulation information and a signal transient feature of a digital receiving signal; and a judgment unit configured to compare the signal transient feature of the digital transmitting signal with the signal transient feature of the digital receiving signal, and determine whether to output or discard the demodulation information of the digital receiving signal according to a comparison result.

[0015] In some other examples, the feature extraction unit includes a first cache module, a demodulation module, a second cache module, and a calculation module.

[0016] The first cache module is configured to receive the digital transmitting signal from a millimeter wave radar signal transmitting unit for local caching.

[0017] The demodulation module is configured to demodulate the digital receiving signal received by the millimeter wave radar signal receiving unit to obtain demodulation information.

[0018] The second cache module is configured to receive the digital receiving signal for local caching.

[0019] The computing module is configured to acquire the digital transmit signal from the first buffering module and acquire the digital receive signal from the second buffering module, and compute the signal transient characteristics of the digital transmit signal and the digital receive signal.

[0020] In some other examples, the first buffering module further receives a synchronization pulse of the digital transmit signal provided by the millimeter wave radar signal transmitting unit, and the demodulating module provides a synchronization pulse of the digital receive signal to the second buffering module based on the demodulation information; the computing module acquires the digital transmit signal and the digital receive signal based on the synchronization pulse to compute the signal transient characteristics.

[0021] In some other examples, the judging unit comprises a comparing module and a judging module, the comparing module is configured to compute the difference between the signal transient characteristics of the digital transmit signal and the signal transient characteristics of the digital receive signal; and the judging module is configured to compare the difference with a set threshold to judge whether the signal transient characteristics of the digital receive signal and the signal transient characteristics of the digital transmit signal are consistent.

[0022] In addition, the present application further discloses a medical device comprising a memory, a processor and a millimeter wave radar for sensing human vital signs, wherein the memory stores a non-transient computer program, the processor is data coupled with the memory, and when the processor executes the program, the millimeter wave radar anti-jamming method according to any one of the above schemes is realized.

[0023] The present application realizes the effect of anti-jamming of the same frequency by collecting the instantaneous signal of the millimeter wave radar, extracting the characteristic information of the instantaneous signal, and filtering other same frequency interference signals based on the unique identifiable characteristic information, and improves the accuracy of vital sign sensing of the application device. BRIEF DESCRIPTION OF DRAWINGS

[0024] Other features, objects and advantages of the present application will become more apparent from the following detailed description of non-limiting embodiments made with reference to the accompanying drawings:

[0025] Figure 1 A schematic diagram of the principle of generating same frequency interference among multiple same frequency millimeter wave radars;

[0026] Figure 2 A schematic diagram of the working process of the millimeter wave radar anti-jamming method according to an embodiment of the present application;

[0027] Figure 3 A schematic diagram of the structure of the millimeter wave radar anti-jamming device according to an embodiment of the present application;

[0028] Figure 4 This is a schematic diagram of a medical device structure according to an embodiment of the present invention. Detailed Implementation

[0029] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0030] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0031] This invention addresses the shortcomings of existing solutions by extracting the characteristic information of instantaneous signals from millimeter-wave radar without altering antenna performance. Based on the unique identifiability of this characteristic information, other co-channel interference signals are filtered out, thus achieving anti-interference effects. Specifically, by extracting the characteristic information of the 77GHz millimeter-wave radar instantaneous signal, the recognition rate of the device is improved, and the signal error rate is reduced, thereby achieving anti-interference effects.

[0032] like Figure 1 As shown, at least a first millimeter-wave radar (local device) 10 and a second millimeter-wave radar (other device) 20 are configured in a space (e.g., a room). For example, the millimeter-wave radars are installed in different medical devices, each using the millimeter-wave radar to sense the status information of a corresponding target 30, such as human vital signs. In this invention, the millimeter-wave radar can be, for example, a 77 GHz millimeter-wave radar, thereby giving the medical device higher resolution and a smaller size.

[0033] Typically, in the space 100, such as in an examination room of a medical institution, multiple medical devices are configured, allowing medical staff to provide examination services to multiple targets 30 (patients or clients) simultaneously. For example, medical staff may use a first medical device to provide examination services to a first target and a second medical device to provide examination services to a second target.

[0034] During normal operation, the transmitting module of the first millimeter-wave radar 10 transmits radar signals to the first target. The target reflects the radar signals, which are then received by the receiving module of the first millimeter-wave radar 10. After subsequent signal processing, the target's status information, such as human vital signs, is obtained. Similarly, the second millimeter-wave radar 20 performs status perception on the second target using the same method.

[0035] However, as Figure 1As shown, due to the same working frequency band, in some cases, the radar signal transmitted by the second millimeter wave radar 20 will form a co-frequency interference signal into the receiving module of the first millimeter wave radar 10 after being reflected by the target (the second target, or possibly the first signal), thereby causing errors in the target state information obtained based on the first millimeter wave radar 10.

[0036] To solve the above problems, as shown in Figure 2 The present application provides a millimeter wave radar co-frequency anti-interference method based on signal transient characteristics, comprising the following steps:

[0037] S201, obtaining the signal transient characteristics of the digital transmission signal of the millimeter wave radar;

[0038] At the sending end of the local (millimeter wave radar), while sending the digital transmission signal (for example, through a digital signal sending module), the digital transmission signal to be sent is locally cached by a first cache module.

[0039] In the present application, the signal transient characteristics of the digital transmission signal include the number of peaks, amplitude variance, duration, and transient power normalized average.

[0040] Specifically, when the digital signal sending module sends the digital transmission signal to the radio frequency front end, the cache module locally caches the digital transmission signal and receives the synchronization pulse (including the start pulse and the end pulse) sent by the digital signal sending module. Based on the synchronization pulse, the calculation module obtains the digital transmission signal and calculates the number of peaks (n0), amplitude variance duration (τ0), and transient power normalized average

[0041] S202, obtaining the demodulation information and signal transient characteristics of the digital receiving signal of the millimeter wave radar;

[0042] At the receiving end of the local (millimeter wave radar), after receiving the intermediate frequency signal processed by the radio frequency front end, the sampled digital receiving signal is locally cached by a second cache module, and the demodulation information of the sampled digital receiving signal is obtained. The demodulation information includes the synchronization pulse (including the start pulse and the end pulse) of the digital receiving signal.

[0043] First, the demodulation module demodulates the sampled receiving signal to obtain the demodulation information, and extracts the start pulse and the end pulse of the received transient signal based on the demodulation information.

[0044] Based on the synchronization pulse, the calculation module acquires the digital received signal and calculates the peak count (n) and amplitude variance (σ) of the locally buffered digital received signal. 2 ), duration (τ) and normalized average transient power (x) * ).

[0045] S203. Compare whether the transient characteristics of the digital transmitted signal match the transient characteristics of the digital received signal, and output or discard the demodulation information of the digital received signal based on the comparison result.

[0046] The transient characteristics of the locally buffered digital transmitted signal (first transient characteristics) are compared with the transient characteristics of the locally buffered digital received signal (second transient characteristics), for example, by calculating the difference between the first transient characteristics and the second transient characteristics. This difference is then compared with a set threshold to determine whether the transient characteristics of the received digital signal match the transient characteristics of the digital transmitted signal.

[0047] Specifically, the peak count (n0) and amplitude variance of the digital transmitted signal are compared respectively. Duration (τ0) and normalized average transient power The number of peak values ​​(n) and amplitude variance (σ) of the received digital signal. 2 ), duration (τ) and normalized average transient power (x) * The difference between the received digital signal and the transmitted digital signal is calculated, and each difference is compared with the corresponding set threshold to determine whether the transient characteristics of the received digital signal match the transient characteristics of the transmitted digital signal.

[0048] For example, if all differences are less than their corresponding set thresholds, the transient characteristics of the received digital signal are determined to match the transient characteristics of the transmitted digital signal, and the demodulated data of the demodulation module is output; otherwise, the demodulated data is discarded.

[0049] For example, the present invention calculates the transient characteristics of each signal using the following method:

[0050] (1) Peak Count Statistics

[0051] For the locally buffered digital transmission signal, the peak quantity statistics module obtains the transient digital transmission signal from the buffer as follows:

[0052]

[0053] First, normalization is performed:

[0054] s(m)={s1,s2,…,s k ,…,sm} (2)

[0055] After obtaining s(m), the number of s(m)=1 in the sequence can be counted, and the number of instantaneous signal peaks n0 of the transmitted signal is obtained. k

[0056] Similarly, the number of instantaneous signal peaks n of the received signal can also be calculated. The received transient signal is:

[0057]

[0058] After normalization, the amplitude variance σs2 of the signal s(m) is:

[0059] r(l) = {r1, r2,..., rN} (4) j l} (4)

[0060] After obtaining r(l), the number of r(l)=1 in the sequence can be counted, and the number of instantaneous signal peaks n of the received signal is obtained. j

[0061] (2) Amplitude variance calculation

[0062] For the locally cached digital transmitted signal, the amplitude variance σs2 of the signal s(m) obtained after normalization is:

[0063]

[0064] Similarly, the amplitude variance σr2 of the received signal r(l) can also be obtained using the same method: 2

[0065]

[0066] (3) Duration calculation

[0067] Assuming that the sampling rate of the ADC and DAC is F c , a clock counter with a frequency of F c can be used.

[0068] For the locally cached transmitted signal, the counter starts counting when the starting pulse is detected from the cache module of the sending unit, and stops counting when the ending pulse is detected by the cache module. The starting pulse and ending pulse of the cached transmitted signal are provided by the digital signal sending module. Assuming that the time count is N0, the duration of the local transient signal can be obtained:

[0069] τ0 = F c · N0 (7)

[0070] ​​​​Similarly, if the count of the received transient signal from the start pulse to the end pulse is N (where the start pulse and the end pulse of the received transient signal are provided by the demodulation module), the duration of the received transient signal is:

[0071] τ = F c • N (8)

[0072] (4) Transient power normalized average value calculation

[0073] The mean value of the normalized digital signal s(m) of the locally cached transmitted transient signal is:

[0074]

[0075] The standard deviation of the normalized digital signal s(m) of the locally cached transmitted transient signal is σ0, and the transient power normalized average value is:

[0076]

[0077] The mean value of the normalized digital signal r(l) of the received transient signal is:

[0078]

[0079] The standard deviation of the normalized digital signal r(l) of the received transient signal is σ, and the received transient power normalized average value is:

[0080]

[0081] In the present application, the difference between the transmitted transient signal feature and the received transient signal feature is calculated by the comparison module:

[0082]

[0083]

[0084]

[0085]

[0086] Then, the obtained difference is input into the decision module. The decision module compares the difference with a set threshold value, for example, if the difference exceeds 3 dB, it means that the features are not consistent, and the decision is 0; if the difference is less than or equal to 3 dB, it means that the features are consistent, and the decision is 1.

[0087] Optionally, if three or more of the four signal transient characteristics are consistent, i.e., the decision result is 1110, 1101, 1011, 0111 or 1111, it indicates that the received transient signal characteristics are basically consistent with the local transmitted transient signal, and the demodulation module retains the demodulation information and sends it out. If it is other decision result, it indicates that the received transient signal characteristics are not consistent with the local transmitted transient signal, and the demodulation module does not retain the demodulation information and discards it.

[0088] In view of the problem that when only using an antenna and a radio frequency front end to filter out interference signals, interference signals of the same frequency and the same tone cannot be filtered out, the application extracts the local millimeter wave radar signal characteristics by calculating the peak number (n), amplitude variance (σ 2 ), duration (τ), and transient power normalized average (x * ) of the transient signal, and excludes signal interference by comparing the local transient signal characteristics with the received transient signal characteristics.

[0089] The transient radar signal of each transmitter has unique physical characteristics, which are determined by the production process and manufacturing defects of the electronic elements of the transmitter hardware circuit. By extracting these transient signal characteristics, the application can exclude interference from other transmitters of the same frequency.

[0090] Although some other signal characteristics can also be used to identify the local transmitter and exclude other interference of the same frequency, such as permutation entropy, modulation error, constellation diagram, etc., through analysis, it is found that the extraction difficulty of these signal characteristics is much higher than that of the four signal characteristics of peak number, amplitude variance, duration, and transient power normalized average. Therefore, when these other signal characteristics are used for local identification and exclusion of other interference of the same frequency, on the one hand, the computing resources and performance requirements of the signal characteristic extraction device are higher, especially when it is used in medical devices with limited volume and power consumption, because more computing resources are required and the power consumption is higher, resulting in high cost of medical devices. On the other hand, the signal characteristic calculation process is more complex, and the accuracy of the calculation result is difficult to guarantee, which ultimately leads to low identification accuracy.

[0091] It can be seen that the application can maximize the filtering of interference signals of the same frequency and the same tone according to the physical characteristics of the signal itself, greatly improving the correct signal recognition rate and reducing the false signal rate. At the same time, without modifying the antenna and the radio frequency front end, the cost is low. Moreover, the extraction and calculation complexity of the four characteristics of peak number, amplitude variance, duration, and transient power normalized average is low, and the computing resources occupied are smaller, which can be easily realized in a processor with low speed and small computing resources, and the device cost can be better controlled.

[0092] Figure 3A structure diagram of a millimeter wave radar anti-jamming device based on signal transient characteristics according to an embodiment of the present application is shown in FIG. 1. As shown in the figure, the device comprises a sending unit 31, a receiving unit 32, a characteristic extraction unit 33, and a judging unit 34, which are described in detail as follows.

[0093] The sending unit 31 is configured to send a radar signal to a target, and comprises a first radio frequency front end 311 and a digital signal sending module 312. The digital signal sending module 312 sends a digital sending signal to the first radio frequency front end 311 to form a radar signal sent to the target.

[0094] The receiving unit 32 is configured to receive a return signal formed by the radar signal reflected by the target, and to process the signal to obtain a digital receiving signal, and comprises a second radio frequency front end 321 and a high-speed ADC module 322. The second radio frequency front end 321 receives the return signal, and the high-speed ADC module 322 obtains the digital receiving signal.

[0095] The characteristic extraction unit 33 is configured to extract signal transient characteristics of the digital sending signal and the digital receiving signal.

[0096] Exemplarily, the characteristic extraction unit 33 comprises a first cache module 331, a demodulation module 332, a second cache module 333, and a calculation module 334.

[0097] The first cache module 331 is configured to receive and locally cache the digital sending signal when the digital signal sending module 312 sends the digital sending signal to the first radio frequency front end 311. The digital signal sending module 312 provides the first cache module 331 with a start pulse and an end pulse of the digital sending signal. The first cache module 331 sends the digital sending signal to the calculation module 334 based on the start pulse and the end pulse of the digital sending signal.

[0098] The demodulation module 332 is configured to demodulate the digital receiving signal to obtain demodulation information. The demodulation information comprises a start pulse and an end pulse of the digital receiving signal, and the demodulation module 332 provides the second cache module 332 with the start pulse and the end pulse of the digital receiving signal.

[0099] The second cache module 332 is configured to receive and locally cache the digital receiving signal, and to send the digital receiving signal to the calculation module 334 based on the start pulse and the end pulse of the digital receiving signal.

[0100] The computing module 334 receives the digital transmit signal sent by the first buffering module 331 and the digital receive signal sent by the second buffering module 332, and respectively calculates the signal transient characteristics of the digital transmit signal and the digital receive signal.

[0101] Exemplarily, the signal transient characteristics include the peak number, the amplitude variance, the duration and the transient power normalized average value, and the computing module 334 includes a peak detection module, a variance calculation module, a timer and a transient power normalized calculation module. The peak detection module is used to count the peak number of the digital transmit signal and the digital receive signal. The variance calculation module is used to calculate the amplitude variance of the digital transmit signal and the digital receive signal. The timer is used to calculate the duration of the digital transmit signal and the digital receive signal. The transient power normalized calculation module is used to calculate the transient power normalized average value of the digital transmit signal and the digital receive signal.

[0102] Alternatively, the computing module includes a first computing module corresponding to the sending unit, used to calculate the signal transient characteristics of the digital transmit signal, and a second computing module corresponding to the receiving unit, used to calculate the signal transient characteristics of the digital receive signal. The first and second computing modules respectively include a peak detection module, a variance calculation module, a timer and a transient power normalized calculation module.

[0103] The judging unit 34 is used to receive the calculation results of the computing module 33, compare the difference between the signal transient characteristics of the digital transmit signal and the digital receive signal, and determine whether the digital transmit signal and the digital receive signal are consistent according to the relationship between the difference and a set threshold value, so as to determine whether to output or discard the demodulation information.

[0104] Exemplarily, the judging unit 34 includes a comparison module 341 and a decision module 342. The comparison module 341 is used to calculate the difference between the signal transient characteristics of the digital transmit signal and the digital receive signal, specifically, the difference between the peak number, the amplitude variance, the duration and the transient power normalized average value of the digital transmit signal and the digital receive signal. The decision module 342 is used to determine whether the digital transmit signal and the digital receive signal are consistent according to the difference and a set threshold value, so as to determine whether to output or discard the demodulation information of the digital receive signal.

[0105] It can be understood that for each transient signal characteristic, i.e. the peak number, the amplitude variance, the duration and the transient power normalized average value, a corresponding difference threshold value needs to be set.

[0106] In addition, the comparison module can be set one or four corresponding to the number of signal transient characteristics, and each comparison module calculates the difference of one transient signal characteristic (for example, the number of peaks) of the digital transmitting signal and the digital receiving signal.

[0107] In addition, as an alternative embodiment, instead of sending the digital signal to the calculation module by the cache module based on the start pulse and the end pulse of the digital signal, the calculation module reads data from the cache module and obtains the digital signal based on the start pulse and the end pulse of the digital signal. For example, the peak detection module reads data from the second cache module and obtains the digital receiving signal based on the start pulse and the end pulse of the digital receiving signal.

[0108] In the present application, the feature extraction unit 33 and the judgment unit 34 can be integrated with the transmitting unit and the receiving unit of the millimeter wave radar, or can be separate from the transmitting unit and the receiving unit of the millimeter wave radar. The feature extraction unit 33 and the judgment unit 34 can be connected to the transmitting unit and the receiving unit of the millimeter wave radar by wired or wireless data connection.

[0109] In addition, the feature extraction unit 33 and the judgment unit 34 can be implemented by hardware circuit or embedded system with built-in computer instructions. The processor of the embedded system can be a central processing unit (CPU), or other general-purpose processor, digital signal processor (DSP), application specific integrated circuit (ASIC), field programmable gate array (FPGA), or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, or a combination of the above.

[0110] According to another embodiment of the present application, a non-transitory computer readable storage medium is also disclosed for storing non-transitory software programs, non-transitory computer executable programs and modules, such as the programs or instructions corresponding to the millimeter wave radar anti-jamming method based on signal transient characteristics in the foregoing embodiments of the present application. The processor realizes the millimeter wave radar anti-jamming method based on signal transient characteristics in the foregoing method embodiments by running the non-transitory software programs or instructions.

[0111] According to another embodiment of the present application, a medical device is also disclosed, such as Figure 4As shown, the medical device comprises a memory 401, a processor 402, and a millimeter wave radar 403 for sensing vital signs of a human body, the memory 401, the processor 402, and the millimeter wave radar 403 are coupled with each other through a wired (for example, a bus) or wireless interface. The memory 401 stores a non-transitory computer program, and the processor 402 is configured to execute the program to implement the above-mentioned millimeter wave radar anti-jamming method based on signal transient characteristics.

[0112] Although the present application has been described in detail through the above embodiments, the present application is not limited to the above embodiments only, and the technical solutions of the embodiments of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A millimeter wave radar anti-jamming method with same frequency and same modulation, characterized in that, The method comprises the following steps: acquiring signal transient characteristics of a digital transmission signal of a millimeter wave radar; acquiring demodulation information and signal transient characteristics of a digital reception signal of the millimeter wave radar; comparing whether the signal transient characteristics of the digital transmission signal and the signal transient characteristics of the digital reception signal are consistent, and determining whether to output or discard the demodulation information of the digital reception signal according to the comparison result; wherein the signal transient characteristics are determined by the production process and manufacturing defects of the transmitter hardware circuit electronic elements themselves; the signal transient characteristics include the number of peak values, amplitude variance, duration and transient power normalized average value; calculating the difference between the signal transient characteristics of the digital transmission signal and the signal transient characteristics of the digital reception signal, and comparing the difference with a set threshold to determine whether the signal transient characteristics of the digital reception signal and the signal transient characteristics of the digital transmission signal are consistent; if more than three of the four signal transient characteristics are less than or equal to the set threshold, it indicates that the signal transient characteristics of the digital transmission signal and the signal transient characteristics of the digital reception signal are consistent, the demodulation information is retained and sent out; otherwise, it indicates that the signal transient characteristics of the digital transmission signal and the signal transient characteristics of the digital reception signal are inconsistent, and the demodulation information is discarded.

2. The millimeter wave radar anti-jamming method of the same frequency and the same tone according to claim 1, characterized in that, The method comprises the following steps:

3. The millimeter wave radar anti-jamming method of the same frequency and the same tone according to claim 1, characterized in that, acquiring signal transient characteristics of a digital transmission signal of a millimeter wave radar; 4. A millimeter wave radar anti-jamming device of the same frequency and same modulation, characterized in that, acquiring demodulation information and signal transient characteristics of a digital reception signal of the millimeter wave radar; comparing whether the signal transient characteristics of the digital transmission signal and the signal transient characteristics of the digital reception signal are consistent, and determining whether to output or discard the demodulation information of the digital reception signal according to the comparison result; wherein the signal transient characteristics are determined by the production process and manufacturing defects of the transmitter hardware circuit electronic elements themselves; the signal transient characteristics include the number of peak values, amplitude variance, duration and transient power normalized average value; calculating the difference between the signal transient characteristics of the digital transmission signal and the signal transient characteristics of the digital reception signal, and comparing the difference with a set threshold to determine whether the signal transient characteristics of the digital reception signal and the signal transient characteristics of the digital transmission signal are consistent; if more than three of the four signal transient characteristics are less than or equal to the set threshold, it indicates that the signal transient characteristics of the digital transmission signal and the signal transient characteristics of the digital reception signal are consistent, the demodulation information is retained and sent out; otherwise, it indicates that the signal transient characteristics of the digital transmission signal and the signal transient characteristics of the digital reception signal are inconsistent, and the demodulation information is discarded. The method comprises the following steps: acquiring signal transient characteristics of a digital transmission signal of a millimeter wave radar; acquiring demodulation information and signal transient characteristics of a digital reception signal of the millimeter wave radar; comparing whether the signal transient characteristics of the digital transmission signal and the signal transient characteristics of the digital reception signal are consistent, and determining whether to output or discard the demodulation information of the digital reception signal according to the comparison result; wherein the signal transient characteristics are determined by the production process and manufacturing defects of the transmitter hardware circuit electronic elements themselves; the signal transient characteristics include the number of peak values, amplitude variance, duration and transient power normalized average value; calculating the difference between the signal transient characteristics of the digital transmission signal and the signal transient characteristics of the digital reception signal, and comparing the difference with a set threshold to determine whether the signal transient characteristics of the digital reception signal and the signal transient characteristics of the digital transmission signal are consistent; if more than three of the four signal transient characteristics are less than or equal to the set threshold, it indicates that the signal transient characteristics of the digital transmission signal and the signal transient characteristics of the digital reception signal are consistent, the demodulation information is retained and sent out; otherwise, it indicates that the signal transient characteristics of the digital transmission signal and the signal transient characteristics of the digital reception signal are inconsistent, and the demodulation information is discarded.

5. The millimeter wave radar anti-jamming device of the same frequency and the same tone according to claim 4, characterized in that, The feature extraction unit comprises a first cache module, a demodulation module, a second cache module and a calculation module. The first cache module is configured to receive the digital transmission signal from the millimeter wave radar signal transmission unit and perform local caching. The demodulation module is configured to demodulate the digital reception signal received by the millimeter wave radar signal receiving unit to obtain demodulation information. The second cache module is configured to receive the digital reception signal and perform local caching. The calculation module is configured to obtain the digital transmission signal from the first cache module and obtain the digital reception signal from the second cache module, and calculate the signal transient feature of the digital transmission signal and the digital reception signal.

6. The millimeter wave radar anti-jamming device of the same frequency and the same tone according to claim 5, characterized in that, The first cache module also receives the synchronization pulse of the digital transmission signal provided by the millimeter wave radar signal transmission unit, the demodulation module provides the synchronization pulse of the digital reception signal to the second cache module based on the demodulation information, and the calculation module obtains the digital transmission signal and the digital reception signal based on the synchronization pulse to perform signal transient feature calculation.

7. A medical device comprising: A memory, a processor and a millimeter wave radar for sensing human vital signs, wherein the memory stores a non-transitory computer program, the processor is data coupled with the memory, and when the processor executes the program, the millimeter wave radar interference suppression method according to any one of claims 1-3 is realized.

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