CN112859071B - Hidden deadly injury detection method and detection system based on UWB biological radar - Google Patents
Hidden deadly injury detection method and detection system based on UWB biological radar Download PDFInfo
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- G—PHYSICS
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
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- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
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Abstract
The invention discloses a hidden deadly injury detection method and a detection system based on UWB biological radar, which belong to the technical field of biological radar and comprise the following steps: collecting two sets of UWB biological radar echo data of the left and right symmetry of the physiological anatomy structure of a target object to be detected; sequentially carrying out normalization processing, discrete cosine transform processing and threshold operation processing on the acquired two groups of UWB biological radar echo data to obtain two groups of characteristic value data which can be used for linear discriminant analysis; and (3) carrying out linear discriminant analysis on the obtained two sets of characteristic value data, judging the injury, judging the no injury if the two sets of characteristic value data are linearly indistinguishable, and judging the injury if the two sets of characteristic value data are linearly indistinguishable. The invention utilizes the symmetrical characteristic of the human body planing structure to measure, process and analyze data, realizes the automatic discrimination of the injury information such as an air layer, bleeding points and the like, and can rapidly and conveniently realize the detection of fatal hidden injuries.
Description
Technical Field
The invention belongs to the technical field of biological radars, and particularly relates to a hidden fatal injury detection method and system based on a UWB biological radar.
Background
The pre-hospital emergency treatment process is limited by personnel, time and conditions, and certain hidden fatal injuries such as tension pneumothorax, intracranial hemorrhage and the like cannot be timely found and correctly diagnosed by the symptoms and signs of the wounded, so that diagnosis and treatment are delayed and casualties are caused. However, conventional clinical diagnostic techniques and equipment such as ultrasound, X-ray, CT, MRI, etc. are difficult to apply due to their comprehensive limitations in terms of volume, weight, cost, and use by professionals.
The biological radar is a new concept radar technology which mainly uses human body as detection object, uses electromagnetic wave as detection medium, can penetrate nonmetallic medium such as ruins, walls, clothes, human tissues, etc. to sense information such as respiration, heartbeat, body movement, image, etc. of human body, has the characteristics of non-contact, penetrability and multiple information, and has wide application prospect in the fields of military, medicine, public safety, etc. Compared with the conventional clinical diagnosis technologies such as ultrasound, CT, MRI and the like, the method has the comprehensive advantages of low cost, small volume, light weight, high speed, no need of professional operation and interpretation of results, no need of direct contact with human skin or smearing of couplant during detection, and is a most advantageous technical means for detecting hidden fatal injury in the pre-hospital emergency environment at present.
The imaging method is adopted when the biological radar is used for detecting human injuries at the present stage, and is difficult to be practically used in a short period due to the complex multi-channel transceiving, antenna arrays and imaging algorithms, and is also easily limited by the comprehensive limitations of volume, weight, cost and the like, so that the biological radar is not a feasible way for realizing the detection of hidden fatal injuries.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a hidden deadly injury detection method and a detection system based on UWB biological radar, which can realize rapid automatic detection of the deadly hidden injury.
In order to achieve the above purpose, the invention is realized by adopting the following technical scheme:
the invention discloses a hidden deadly injury detection method based on UWB biological radar, comprising the following steps:
collecting two sets of UWB biological radar echo data of the left and right symmetry of the physiological anatomy structure of a target object to be detected;
sequentially carrying out normalization processing, discrete cosine transform processing and threshold operation processing on the acquired two groups of UWB biological radar echo data to obtain two groups of characteristic value data which can be used for linear discriminant analysis;
and (3) carrying out linear discriminant analysis on the obtained two sets of characteristic value data, judging the injury, judging the no injury if the two sets of characteristic value data are linearly indistinguishable, and judging the injury if the two sets of characteristic value data are linearly indistinguishable.
Preferably, when UWB biological radar echo data are collected, the distance from the body surface of the target object to be detected is 1-2 cm or the target object to be detected is directly contacted; the initial distance is set to 0ns, and the time window is set to 5-10 ns; each set of data acquisition times >10s.
Preferably, the normalization process is to change the maximum value of each set of UWB biological radar echo data at different time to 1, wherein the UWB biological radar echo data comprises two-dimensional information of distance m and time n, which is denoted as r i [m,n]Wherein i=1, 2 represents two groups of data of left and right, M is more than or equal to 1 and less than or equal to M represents distance, N is more than or equal to 1 and less than or equal to N represents time, M represents the number of points of the echo data in the distance dimension, M is more than or equal to 512, N represents the number of points of the echo data in the time dimension, N is more than or equal to data acquisition time multiplied by sampling rate, and the normalized data are:
wherein max m r i [m,n]Maximum in the distance dimension.
Preferably, the discrete cosine transform processing refers to processing the normalized dataProcessing in the distance dimension, discrete cosine R i [m,n]：
Wherein,or->
Further preferably, the threshold operation process is to select a characteristic value of the data after discrete cosine transform process, and then there is a threshold R' i [m,n]：
R′ i [m,n]＝R i [m,n] 2≤m≤M′ (3)
Wherein M '< M', M 'represents a group R' i [m,n]And carrying out threshold operation in the distance dimension.
Preferably, the linear discriminant analysis comprises:
designing a two-classification problem, and finding a group of projection coefficients w according to the principle that the intra-class variance is minimum and the inter-class variance is maximum after projection so as to maximize generalized Rayleigh entropy of two groups of processed eigenvalue data:
wherein S is w An intra-class divergence matrix for two sets of eigenvalue data, S b Is the inter-class divergence matrix of two sets of eigenvalue data, [ · ]] T Representing transpose, then projectively transforming the two sets of eigenvalue data using w, projectively transformed data R' i ：
R″ i ＝w T R′ i [m,n] (5)
The distance between two sets of eigenvalue data after projection was determined using mahalanobis distance:
wherein, sigma -1 Is R' 1 And R' 2 Is represented by covariance matrix of (2)[·] -1 Inversion is carried out, a threshold value is finally set for judgment, and when D M And when the data is more than or equal to 1, the two sets of characteristic value data are considered to be linearly separable, the occurrence of the injury is judged, and otherwise, the judgment is normal.
The invention also discloses a detection system for realizing the hidden deadly injury detection method based on the UWB biological radar, which comprises the following steps:
the UWB biological radar echo data acquisition module is used for acquiring two groups of UWB biological radar echo data of left and right symmetry of a physiological anatomical structure of a target object to be detected;
the normalization processing module is used for performing normalization processing on the acquired two groups of UWB biological radar echo data;
the discrete cosine transform processing module is used for performing discrete cosine transform processing on the normalized data;
the threshold operation selection module is used for carrying out threshold operation selection on the data after discrete cosine transform processing;
and the linear discriminant analysis module is used for performing linear discriminant analysis on the two groups of characteristic value data selected by the threshold operation.
Preferably, the UWB biological radar echo data acquisition module comprises a pulse generator, a transmitter, a transceiver antenna, a time sequence logic unit, a control unit and a receiver; wherein:
the pulse generator generates impulse with a certain pulse repetition frequency, the impulse is sent to the transmitter for shaping and then radiated through the receiving and transmitting antenna, meanwhile, the impulse generated by the pulse generator is sent to the time sequence logic unit, a distance gate with controllable delay time is generated under the control of the control unit, and the receiver is triggered to sample the UWB biological radar echo signal.
Preferably, the system further comprises an analog-to-digital conversion module and a control display unit;
the analog-to-digital conversion module is used for converting the acquired UWB biological radar echo signals and then sending the signals to the control display unit;
the control display unit is used for setting system parameters of the UWB biological radar, periodically controlling delay time of the range gate and realizing scanning detection within a set range of the range.
Preferably, the set distance range is determined by two parameters of a starting distance and a time window, and corresponds to a sector area in the two-dimensional plane.
Compared with the prior art, the invention has the following beneficial effects:
the invention discloses a hidden deadly injury detection method based on UWB biological radar, firstly, two groups of symmetrical UWB biological radar echo data of an anatomical structure of a target (human tissue) to be detected are collected, then normalization processing, discrete cosine transform processing and threshold operation processing are sequentially carried out on the two groups of echo data, then LDA is adopted to analyze the two groups of processed data and then judge the injury. The invention is innovative in that the symmetrical characteristic of the human body planing structure is utilized to measure, process and analyze data, and the automatic judgment of the injury information such as an air layer, bleeding points and the like is realized, so that the bleeding in the tension pneumothorax and the craniocerebral can be detected only by a single channel system, and the detection of the fatal hidden injury can be realized rapidly and conveniently.
The invention also discloses a detection system for realizing the detection method, which comprises a UWB biological radar echo data acquisition module, a data processing module (a normalization processing module, a discrete cosine transform processing module and a threshold operation selection module) and a linear discriminant analysis module, and can form a real portable and low-cost intelligent detection device for detecting hidden fatal injury in pre-hospital first aid.
Furthermore, the UWB biological radar echo data acquisition module adopts an impulse system, the central frequency is controlled at 3-5 GHz, the system bandwidth is more than 1GHz, the penetration capability of human tissues and the detection capability of injury information such as an air layer, bleeding points and the like can be ensured, two groups of data are respectively acquired at symmetrical positions on the left side and the right side of the human body by adopting the system, and the system antenna can be 1-2 cm away from the body surface of the human body or directly contact the human body during acquisition, so that the system is convenient and simple to operate.
Drawings
FIG. 1 is a schematic block diagram of a UWB bio-radar system;
FIG. 2 is a schematic diagram of symmetry of human anatomy during data acquisition;
FIG. 3 is a flow chart of the processing of UWB bio-radar echo data;
FIG. 4 LDA-based data analysis flow;
FIG. 5 is a phantom top view of a tension pneumothorax;
figure 6 results of phantom experiments for tensile pneumothorax test; wherein, (a), (b) and (c) correspond to two sets of data after LDA projection in case of normal human body, left tension pneumothorax and bilateral tension pneumothorax respectively;
FIG. 7 is a block flow diagram of a method for detecting hidden fatal injury based on UWB biological radar.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The invention is described in further detail below with reference to the attached drawing figures:
referring to fig. 7, the method for detecting hidden fatal injury based on UWB bio-radar of the present invention includes:
collecting two sets of UWB biological radar echo data of the left and right symmetry of the physiological anatomy structure of a target object to be detected;
sequentially carrying out normalization processing, discrete cosine transform processing and threshold operation processing on the acquired two groups of UWB biological radar echo data to obtain two groups of characteristic value data which can be used for linear discriminant analysis;
and (3) carrying out linear discriminant analysis on the obtained two sets of characteristic value data, judging the injury, judging the no injury if the two sets of characteristic value data are linearly indistinguishable, and judging the injury if the two sets of characteristic value data are linearly indistinguishable.
A detection device for realizing the detection method comprises:
the UWB biological radar echo data acquisition module is used for acquiring two groups of UWB biological radar echo data of left and right symmetry of a physiological anatomical structure of a target object to be detected;
the normalization processing module is used for performing normalization processing on the acquired two groups of UWB biological radar echo data;
the discrete cosine transform processing module is used for performing discrete cosine transform processing on the normalized data;
the threshold operation selection module is used for carrying out threshold operation selection on the data after discrete cosine transform processing;
and the linear discriminant analysis module is used for performing linear discriminant analysis on the two groups of characteristic value data selected by the threshold operation.
The detection system and the detection method of the present invention are described in detail below with reference to the following specific drawings:
referring to fig. 1, a schematic block diagram of a UWB bio-radar system is shown. The system adopts an impulse system, the center frequency is controlled between 3 GHz and 5GHz, and the system bandwidth is more than 1GHz. As shown in the figure, the pulse generator generates impulse with a certain pulse repetition frequency, and sends the impulse to the transmitter for shaping and then radiates the impulse through the receiving and transmitting antenna. The receiving and transmitting antenna comprises 1 transmitting antenna and 1 receiving antenna, and the butterfly dipole directional antennas are adopted. At the same time, the pulse generated by the pulse generator is sent to the time sequence logic unit, and a distance gate with controllable delay time is generated under the control of the control unit, so as to trigger the receiver to sample the echo signal. The range gate is delayed relative to the transmitted pulse, i.e., the double-pass travel of the pulse between the system and the target. Obtaining this travel time, the radial distance of the target relative to the radar can be obtained. Thus, UWB bio-radar echo signals are two-dimensional echo signals containing time and distance information. The sampled echo signals are collected at high speed by an ADC (Analog Digital Converter, analog-digital converter) and then sent to a control display unit. The control display unit processes and analyzes the echo data, detects the information of the air layer, bleeding points and the like contained in the echo data, and judges the hidden fatal injury. Meanwhile, the control display unit can set system parameters of the UWB biological radar, control the working state of a radar host, namely periodically control the delay time of the range gate, and realize scanning detection within a set range of distance. The distance range is determined by two parameters of a starting distance and a time window, and corresponds to a sector area in a two-dimensional plane.
Referring to fig. 2, a schematic diagram of symmetry of human anatomy at the time of data acquisition is shown. As shown in the figure, the human body is divided into left and right sides by a vertical extension line of the midline of the human body's sternum. In this way, the human skin, fat, muscle, bone and other tissues and brain, lung and other organs are symmetrical. When the UWB biological radar echo data acquisition module is used for data acquisition, a group of data are respectively acquired at the symmetrical positions (such as the temple of the head, the nipple of the chest and the like) on the left side and the right side. The receiving and transmitting antenna can be 1-2 cm away from the body surface of the human body or directly contact the human body during collection; the initial distance is set to 0ns, and the time window is set to 5-10 ns; each set of data acquisition times was >10s during which the antenna was kept stationary.
Referring to fig. 3, a flowchart of the processing of UWB bio-radar echo data is shown. As shown in the figure, firstly, normalization processing is carried out on two groups of UWB biological radar echo data, namely, the maximum value of each group of UWB biological radar echo data at different time is respectively changed into 1. As previously described, UWB bioradar echo data is recorded as r as comprising distance and time two-dimensional information i [m,n]Wherein i=1, 2 represents data on the left and right sides, M is 1.ltoreq.m is a distance, N is 1.ltoreq.n is time. Normalized data becomes:
wherein max m r i [m,n]Maximum in the distance dimension. Then to normalized dataDCT (Discrete Cosine Transform ) in the distance dimension:
wherein,or->Because the energy of the DCT data is mainly concentrated in the low frequency part, the data is finally selected by threshold operation as the characteristic value of the subsequent LDA analysis, namely:
R′ i [m,n]＝R i [m,n] 2≤m≤M′ (3)
wherein M' < M.
The following describes an LDA-based data analysis method:
fig. 4 is a data analysis flow based on LDA. As shown in the figure, firstly, designing a two-classification problem, and finding a group of projection coefficients w according to the principle of 'the minimum intra-class variance and the maximum inter-class variance after projection', so as to maximize the generalized rayleigh entropy of the processed two groups of UWB biological radar echo data:
wherein S is w Is an intra-class divergence matrix of two groups of data, S b Is the inter-class divergence matrix of two groups of data, [ · ]] T Representing the transpose. Then, the two sets of data are projectively transformed using w:
R″ i ＝w T R′ i [m,n] (5)
next, the "distance" between the two sets of data after projection was determined using the mahalanobis distance (Mahalanobis Distance):
wherein, sigma -1 Is R' 1 And R' 2 Is represented by [. Cndot.] -1 And (5) inverting. Finally, setting a threshold value to judge when D M And when the data is more than or equal to 1, the two groups of data are considered to be linearly separable, so that the occurrence of the injury is judged, and otherwise, the judgment is normal.
Design experiments the efficacy of the method of the invention was evaluated:
fig. 5 is a phantom top view of a tensile pneumothorax used in the experiment. As shown in the figure, the body model is made of polymethyl methacrylate, an elliptic cylinder container with the outer part of 33 multiplied by 25cm simulates the chest of a human body, two cylindrical containers with the diameter of 11cm are symmetrically arranged in the middle to simulate the two lungs of the human body, the wall thickness of each container is 5mm, and the height of each container is 30cm. In the experimental process, two groups of data are respectively collected for processing analysis according to the following three conditions: 1) Injecting mixed solution of purified water and ethanol into the three containers, namely normal human body; 2) A small balloon is stuck on the outer side of the left cylindrical container to introduce air, namely a left tension pneumothorax; 3) And small balloons are adhered to the outer sides of the cylindrical containers at the left side and the right side to introduce air, namely, a bilateral tension pneumothorax. During data acquisition, the UWB biological radar antenna is opposite to a focus on the horizontal center line of the phantom and the outer side of the elliptic cylinder container, and the height of the UWB biological radar antenna is 15cm from the phantom.
FIG. 6 shows the results of a phantom experiment for tension pneumothorax test, wherein (a), (b) and (c) correspond to the normal human body, left tension pneumothorax, and two sets of data R', after LDA projection in case of bilateral tension pneumothorax, respectively i . As shown, the two sets of data are linearly inseparable in the normal human case, while in the left and bilateral tension pneumothorax case, the introduction of air breaks the symmetry of the phantom resulting in the two sets of data being linearly separable. And finally, calculating the mahalanobis distances of the three conditions as 0.3020, 1.4475 and 1.0694 respectively, and judging that the obtained detection result is consistent with the actual detection result according to the set threshold.
In summary, the invention mainly utilizes the symmetry that the occurrence of injuries such as tension pneumothorax, intracranial hemorrhage and the like can destroy the human body structure to realize the rapid automatic detection of fatal hidden injuries, and the method comprises three steps of data acquisition, data processing and data analysis, and finally outputs the result of whether the injuries exist or not: the UWB biological radar of the impulse system is used for data acquisition, the human body is divided into a left side and a right side by a vertical extension line of the central line of the human body sternum, and then a group of data is respectively acquired at symmetrical positions (such as temple of the head, nipple of the chest and the like) on both sides; the data processing carries out normalization, DCT, threshold and other operations on the acquired data to generate characteristic values for analysis; the data analysis is mainly based on LDA to calculate the distance between projections after two classification, and then to judge the threshold value to output the result of whether the injury exists or not.
The above is only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited by this, and any modification made on the basis of the technical scheme according to the technical idea of the present invention falls within the protection scope of the claims of the present invention.
Claims (7)
1. A method for detecting a hidden fatal injury based on UWB biological radar, comprising:
collecting two sets of UWB biological radar echo data of the left and right symmetry of the physiological anatomy structure of a target object to be detected;
sequentially carrying out normalization processing, discrete cosine transform processing and threshold operation processing on the acquired two groups of UWB biological radar echo data to obtain two groups of characteristic value data which can be used for linear discriminant analysis;
the normalization processing is to change the maximum value of each group of UWB biological radar echo data at different time into 1, wherein the UWB biological radar echo data comprises two-dimensional information of distance m and time n, and is marked as r i [m,n]Wherein i=1, 2 represents two groups of data of left and right, M is more than or equal to 1 and less than or equal to M represents distance, N is more than or equal to 1 and less than or equal to N represents time, M represents the number of points of the echo data in the distance dimension, M is more than or equal to 512, N represents the number of points of the echo data in the time dimension, N is more than or equal to data acquisition time multiplied by sampling rate, and the normalized data are:
wherein,taking a maximum value in the distance dimension;
the discrete cosine transform processing refers to the normalization processing of the dataProcessing in the distance dimension, discrete cosine R i [m,n]：
Wherein,or->
The threshold operation process is to select the characteristic value of the data after discrete cosine transform process, and then there is a threshold R' i [m,n]：
R′ i [m,n]＝R i [m,n]2≤m≤M′ (3)
Wherein M '< M', M 'represents a group R' i [m,n]Performing threshold operation in the distance dimension;
and (3) carrying out linear discriminant analysis on the obtained two sets of characteristic value data, judging the injury, judging the no injury if the two sets of characteristic value data are linearly indistinguishable, and judging the injury if the two sets of characteristic value data are linearly indistinguishable.
2. The method for detecting hidden fatal injury based on UWB biological radar according to claim 1, wherein when UWB biological radar echo data is collected, the distance from the body surface of the target object to be detected is 1-2 cm or the target object to be detected is directly contacted; the initial distance is set to 0ns, and the time window is set to 5-10 ns; each set of data acquisition times >10s.
3. The method for detecting a hidden fatal injury based on UWB biological radar according to claim 1, wherein the linear discriminant analysis includes:
designing a two-classification problem, and finding a group of projection coefficients w according to the principle that the intra-class variance is minimum and the inter-class variance is maximum after projection so as to maximize generalized Rayleigh entropy of two groups of processed eigenvalue data:
wherein S is w An intra-class divergence matrix for two sets of eigenvalue data, S b Is the inter-class divergence matrix of two sets of eigenvalue data, [ · ]] T Representing transpose, then projectively transforming the two sets of eigenvalue data using w, projectively transformed data R' i ：
R″ i ＝w T R′ i [m,n] (5)
The distance between two sets of eigenvalue data after projection was determined using mahalanobis distance:
wherein, sigma -1 Is R' 1 And R' 2 Is represented by [. Cndot.] -1 Inversion is carried out, a threshold value is finally set for judgment, and when D M And when the data is more than or equal to 1, the two sets of characteristic value data are considered to be linearly separable, the occurrence of the injury is judged, and otherwise, the judgment is normal.
4. A detection system for implementing the method for detecting a hidden fatal injury based on a UWB bioradar according to any one of claims 1 to 3, comprising:
the UWB biological radar echo data acquisition module is used for acquiring two groups of UWB biological radar echo data of left and right symmetry of a physiological anatomical structure of a target object to be detected;
the normalization processing module is used for performing normalization processing on the acquired two groups of UWB biological radar echo data; the normalization processing is to change the maximum value of each group of UWB biological radar echo data at different time into 1, wherein the UWB biological radar echo data comprises two-dimensional information of distance m and time n, and is marked as r i [m,n]Wherein i=1, 2 represents two groups of data of left and right, M is more than or equal to 1 and less than or equal to M represents distance, N is more than or equal to 1 and less than or equal to N represents time, M represents the number of points of the echo data in the distance dimension, M is more than or equal to 512, N represents the number of points of the echo data in the time dimension, N is more than or equal to data acquisition time multiplied by sampling rate, and the normalized data are:
wherein,taking a maximum value in the distance dimension;
the discrete cosine transform processing module is used for performing discrete cosine transform processing on the normalized data;
the discrete cosine transform processing refers to the normalization processing of the dataProcessing in the distance dimension, discrete cosine R i [m,n]：
Wherein,or->
The threshold operation selection module is used for carrying out threshold operation selection on the data after discrete cosine transform processing;
the threshold operation process is to select the characteristic value of the data after discrete cosine transform process, and then there is a threshold R' i [m,n]：
R′ i [m,n]＝R i [m,n]2≤m≤M′ (3)
Wherein M ' < M, M ' represents the integer M ' i [m,n]Performing threshold operation in the distance dimension;
and the linear discriminant analysis module is used for performing linear discriminant analysis on the two groups of characteristic value data selected by the threshold operation.
5. The detection system of claim 4, wherein the UWB biological radar echo data acquisition module comprises a pulse generator, a transmitter, a transceiver antenna, a sequential logic unit, a control unit, and a receiver; wherein:
the pulse generator generates impulse with a certain pulse repetition frequency, the impulse is sent to the transmitter for shaping and then radiated through the receiving and transmitting antenna, meanwhile, the impulse generated by the pulse generator is sent to the time sequence logic unit, a distance gate with controllable delay time is generated under the control of the control unit, and the receiver is triggered to sample the UWB biological radar echo signal.
6. The detection system according to claim 4 or 5, further comprising an analog-to-digital conversion module and a control display unit;
the analog-to-digital conversion module is used for converting the acquired UWB biological radar echo signals and then sending the signals to the control display unit;
the control display unit is used for setting system parameters of the UWB biological radar, periodically controlling delay time of the range gate and realizing scanning detection within a set range of the range.
7. The system of claim 6, wherein the set distance range is determined by two parameters, namely a start distance and a time window, corresponding to a sector in the two-dimensional plane.
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