Radar automatic gain control method based on scene perception

The radar automatic gain control method dynamically adjusts noise figure and third-order intercept point based on scenario classification to enhance detection performance and reduce amplifier saturation, addressing the limitations of fixed AGC allocation in existing technologies.

CN119126026APending Publication Date: 2024-12-13LEIHUA ELECTRONICS TECH RES INST AVIATION IND OF CHINA
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Patent Information

Application Number
CN202411301764.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-18
Publication Date
2024-12-13

AI Technical Summary

Technical Problem

Existing automatic gain control (AGC) methods for airborne pulse Doppler radar lack real-time adaptability, leading to inconsistent noise figure and third-order intercept point performance, which affects detection distance and resistance to high-power signals, and fail to address front-stage amplifier saturation due to unsampled high-power signals outside the receiving bandwidth.

Method used

A radar automatic gain control method that classifies radar usage scenarios, calculates AGC control values, and dynamically adjusts noise coefficient and third-order intercept point based on scenario-specific requirements, selecting the optimal AGC allocation method to enhance detection performance and reduce amplifier saturation.

Benefits of technology

The method improves radar detection performance by adapting AGC allocation to different scenarios, reducing false alarms and missed detections, and enhances the radar's ability to handle high-power signals without saturating front-stage amplifiers.

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Abstract

The invention belongs to the technical field of airborne pulse Doppler radar gain control design, and particularly relates to a radar automatic gain control method based on scene perception, which is used for classifying radar use scenes, analyzing capability requirements in different radar use scenes, and mapping the capability requirements to specific index requirements such as noise coefficients and third-order intercept points. And performing real-time screening to obtain AGC distribution modes in different radar use scenes, and performing automatic gain control on a radar receiving radio frequency link.
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Description

Technical Field

[0001] The present application belongs to the technical field of airborne pulse Doppler radar gain control design, and specifically relates to a radar automatic gain control method based on scene perception. Background Art

[0002] The radar receiving RF chain is generally complex, including multi-stage amplifiers, mixers, filters and digitally controlled attenuators. The automatic gain control (AGC) of the airborne pulse Doppler radar adjusts the gain, noise figure, third-order intercept point and other parameters of the entire receiving RF chain by controlling the digitally controlled attenuators at different positions of the receiving RF chain.

[0003] Since there are multiple levels of digitally controlled attenuators on the radar receiving RF link, the same AGC control value can be allocated in multiple ways. Although the receiving RF link gain is the same under the same AGC control value, due to the different distribution positions of the digitally controlled attenuators, the parameters such as the noise figure and third-order intercept point of the receiving RF link are very different under different AGC allocation methods. These parameters have a great impact on the detection performance of the airborne pulse Doppler radar.

[0004] In some AGC allocation methods, the noise coefficient is lower and the third-order intercept point is also lower. In this case, the detection distance of the airborne pulse Doppler radar is longer, but it is greatly affected by the high-power ground echo, and intermodulation signals may appear, resulting in false alarms. In some AGC allocation methods, the noise coefficient is larger and the third-order intercept point is also larger. In this case, the detection distance of the airborne pulse Doppler radar is affected, but the ability to resist high-power signals is stronger and the false alarm suppression is better.

[0005] At present, the automatic gain control of airborne pulse Doppler radar usually presets an AGC pre-control value, uses an analog-to-digital converter to sample to obtain an echo sampling quantization value, and then obtains an AGC control value based on the echo sampling quantization value and the expected echo quantization value, and then checks the AGC allocation table to obtain the AGC allocation value of each attenuator on the receiving RF link under the AGC control value, and controls the gain of the entire receiving RF link. This technical solution has the following defects:

[0006] 1) The AGC allocation table is fixed. The allocation method of each AGC control value to the digitally controlled attenuators at each level on the receiving RF link remains unchanged. The noise coefficient and third-order intercept point of the receiving RF link remain unchanged. The AGC allocation method cannot be changed in real time according to the actual usage scenario. The radar cannot achieve the best detection performance in some scenarios.

[0007] 2) The receiving bandwidth of the front stage of the receiving RF link is relatively wide, generally much larger than the receiving bandwidth of the end of the receiving RF link, while the analog-to-digital converter can only sample the echo signal within the receiving bandwidth of the end of the receiving RF link and cannot perceive the high-power signal outside the end receiving bandwidth. This will cause the front-stage amplifier to saturate when the high-power signal frequency is outside the end receiving bandwidth but within the front-stage receiving bandwidth, and the analog-to-digital converter cannot perceive it.

[0008] This application is proposed in view of the above-mentioned technical defects. Summary of the invention

[0009] The purpose of this application is to provide a radar automatic gain control method based on scene perception to overcome or alleviate at least one of the known technical deficiencies.

[0010] The technical solution of this application is:

[0011] A radar automatic gain control method based on scene perception, comprising:

[0012] Step 1: Identify radar usage scenarios. Radar usage scenarios are divided into non-interference upward viewing, non-interference downward viewing, same-frequency high-power interference, and different-frequency high-power interference;

[0013] Step 2: Calculate the AGC control value;

[0014] Step 3: Combine different AGC allocation methods;

[0015] Step 4: Calculate the noise coefficient under different AGC allocation modes;

[0016] Step 5: Calculate the third-order intercept point under different AGC allocation modes;

[0017] Step 6: Set the indicator requirements for different radar usage scenarios;

[0018] According to the radar's capability requirements for usage scenarios, set the index requirements for noise coefficient and its third-order intercept point in different radar usage scenarios;

[0019] Step 7: Select the AGC allocation method and perform automatic gain control on the radar;

[0020] From different AGC allocation methods, select the AGC allocation method that meets the radar usage scenario indicator requirements;

[0021] If only one of the different AGC allocation methods meets the radar usage scenario indicator requirements, then the AGC allocation method is used to perform automatic gain control on the radar;

[0022] If there are multiple AGC allocation methods that meet the requirements of the radar usage scenario indicators among different AGC allocation methods, the radar is automatically gain-controlled using the AGC allocation method with the lowest noise figure among them.

[0023] According to at least one embodiment of the present application, in the above method for radar automatic gain control based on scene perception, in step one, identifying the radar usage scenario specifically includes:

[0024] If N R -N I <T, and θ El >0, then the identified radar usage scenario is non-interference upward viewing;

[0025] If N R -N I <T, and θ El <0, then the identified radar usage scenario is non-interference downward viewing;

[0026] If N R -N I >T, and there are no consecutive l sampling values such that P i -N T <T t at that time, then the identified radar usage scenario is co-frequency high-power interference;

[0027] If N R -N I >T, and there are consecutive l sampling values such that P i -N T <T t at that time, then the identified radar usage scenario is cross-frequency high-power interference scenario;

[0028] Among them,

[0029] N R is the frame frequency domain real-time noise;

[0030] N I is the frame frequency domain inherent noise;

[0031] T is the frequency domain interference detection threshold;

[0032] θ El is the pitch angle of the radar beam pointing;

[0033] P i is the power value of the i-th sampling point, i = 1,..., L, and L is the total number of sampling points;

[0034] N T is the current frame time domain base noise;

[0035] T t is the time domain interference detection threshold.

[0036] According to at least one embodiment of the present application, in the above-mentioned scene perception-based radar automatic gain control method, in step 2, the AGC control value is calculated, specifically:

[0037] A0=A pre +P now -P target ;

[0038] in,

[0039] A0 is the AGC control value;

[0040] A pre is the AGC pre-control value;

[0041] P now Sample quantized values ​​for analog-to-digital converters;

[0042] P target Expected echo quantization value for the analog-to-digital converter.

[0043] According to at least one embodiment of the present application, in the above-mentioned scene-awareness-based radar automatic gain control method, in step 4, the noise coefficient under different AGC allocation modes is calculated, specifically:

[0044]

[0045] in,

[0046] F is the noise factor;

[0047] F k is the noise coefficient of the k-th digital controlled attenuator;

[0048] G k-1 is the gain of the k-1th stage digitally controlled attenuator.

[0049] According to at least one embodiment of the present application, in the above-mentioned scene-awareness-based radar automatic gain control method, in step 5, the third-order intercept point under different AGC allocation modes is calculated, specifically:

[0050]

[0051] in,

[0052] Q3 is the third-order intercept point;

[0053] G is the sum of the gains of each level of digitally controlled attenuators;

[0054] G k is the k-th digital controlled attenuator gain;

[0055] Q 3,k is the third-order intercept point of the k-th digitally controlled attenuator.

[0056] According to at least one embodiment of the present application, in the above-mentioned scene-awareness-based radar automatic gain control method, in step 6, the index requirements under different radar usage scenarios are set, specifically:

[0057] Set the requirement for no interference upward viewing to F <F t1 And Q3>Q 3,t1 , where F t1 is the noise coefficient threshold in the scenario of no interference upward viewing; Q 3,t1 is the third-order intercept threshold in the non-interference upward viewing scenario; F is the noise factor; Q3 is the third-order intercept point;

[0058] Set the requirement for no interference downward viewing to F <F t2 And Q3>Q 3,t2 , where F t2 is the noise coefficient threshold in the non-interference downward viewing scenario; Q 3,t2 is the third-order intercept threshold in the non-interference downward viewing scenario;

[0059] Set the index requirement of co-frequency high-power interference to F <F t3 And Q3>Q 3,t3 Among them, F t3 is the noise coefficient threshold in the scenario of no interference upward viewing; Q 3,t3 It is the third-order intercept point threshold in the scenario of co-frequency high-power interference;

[0060] Set the index requirement of heterodyne high power interference to F <F t4 And Q3>Q 3,t4 , and A 01 >A 1t , where F t4 is the noise coefficient threshold in the scenario of high-power interference with different frequencies; Q 3,t4 A is the third-order intercept threshold in the scenario of high-power interference with different frequencies; 01 A is the AGC control value of the first-stage digital controlled attenuator; 1t It is the AGC control value threshold of the first-stage digitally controlled attenuator in the scenario of heterodyne high-power interference.

[0061] This application has at least the following beneficial technical effects:

[0062] A radar automatic gain control method based on scene perception is provided. Compared with the existing automatic gain control method with a fixed AGC allocation mode, by classifying and perceiving the radar use scenes, the AGC allocation mode is adaptively changed according to the capability requirements and parameter index requirements in different use scenes, so that the detection performance of the radar in various use scenes can be improved, the method has good environmental adaptability, and the false alarm rate and missed alarm rate can be reduced. Compared with the existing method that cannot perceive the saturation of the front-stage amplifier, by changing the AGC allocation mode, the attenuation amount can be allocated to the front-stage digital controlled attenuator, so as to reduce the probability of the front-stage amplifier saturation, so that the radar has a strong anti-saturation capability, thereby reducing the influence of the front-stage receiving saturation on the radar detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 A schematic diagram of a radar automatic gain control method based on scene perception provided in this application.

[0064] In order to better illustrate the present embodiment, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of the actual product. In addition, the drawings are only used for illustrative purposes and should not be construed as limitations on the present application. DETAILED DESCRIPTION

[0065] In order to make the technical solution and advantages of the present application clearer, the technical solution of the present application will be described in further detail in detail and in detail with reference to the accompanying drawings. It can be understood that the specific embodiments described here are only partial embodiments of the present application, which are only used to explain the present application, not to limit the present application. It should be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, and other related parts can refer to the general design.

[0066] In addition, unless otherwise defined, the technical terms or scientific terms used in the description of this application shall have the usual meanings understood by those of ordinary skill in the art to which this application belongs. The words used in the description of this application to indicate orientation are only used to indicate relative directions or positional relationships. When the absolute position of the described object changes, its relative positional relationship may also change accordingly. The word "include" used in the description of this application indicates that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, but does not exclude other elements or objects.

[0067] In addition, it should be noted that, unless otherwise clearly specified and limited, the words "installation", "connection" and similar terms used in the description of this application should be understood in a broad sense. For example, the connection can be a fixed connection or a detachable connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium. Technical personnel in the field can understand its specific meaning in this application according to the specific circumstances.

[0068] An embodiment of the present application provides a radar automatic gain control method based on scene perception, which classifies the radar usage scenarios, analyzes the capability requirements under different radar usage scenarios, maps the capability requirements to specific index requirements such as noise figure and third-order intercept point, and obtains the AGC allocation method under different radar usage scenarios through real-time screening, and performs automatic gain control on the radar receiving radio frequency link, as Figure 1 shown.

[0069] Step 1: Identify the radar usage scenario.

[0070] The radar usage scenarios can be divided into non-interference upward looking, non-interference downward looking, co-frequency high-power interference, and different-frequency high-power interference.

[0071] When identifying the radar usage scenario, the upward looking and downward looking can be distinguished by the pitch angle of the radar beam direction, and whether there is a high-power interference signal on the spectrum can be determined according to the elevation degree of the spectrum noise level. Specifically, it can be referred to as follows:

[0072] If N R -N I <T, and θ El >0, then the identified radar usage scenario is non-interference upward looking;

[0073] If N R -N I <T, and θ El <0, then the identified radar usage scenario is non-interference downward looking;

[0074] If N R -N I >T, and there are no continuous l sampling values such that P i -N T <T t at this time, then the identified radar usage scenario is co-frequency high-power interference;

[0075] If N R -N I >T, and there are continuous l sampling values such that P i -N T <T t at this time, then the identified radar usage scenario is different-frequency high-power interference scenario;

[0076] Among them,

[0077] N R is the frame frequency domain real-time noise;

[0078] N I is the frame frequency domain inherent noise;

[0079] T is the frequency domain interference detection threshold;

[0080] θ El is the radar beam pointing elevation angle;

[0081] P i is the power value of the i-th sampling point, i=1,...,L, L is the total number of sampling points;

[0082] N T is the time domain background noise of the current frame;

[0083] T t is the time domain interference detection threshold.

[0084] l can be 10.

[0085] Step 2: Calculate the AGC control value.

[0086] A0=A pre +P now -P target ;

[0087] in,

[0088] A0 is the AGC control value;

[0089] A pre is the AGC pre-control value;

[0090] P now Sample quantized values ​​for analog-to-digital converters;

[0091] P target Quantized value of the expected echo from the analog-to-digital converter.

[0092] Step 3: Combine different AGC allocation methods.

[0093] Assume that there are n devices in the receiving RF link of the radar system, each device contains three parameters, gain, noise figure, and third-order intercept point. There are k digitally controlled attenuators in the n devices. The digitally controlled attenuators have multiple controllable attenuation levels. The same AGC control value can be assigned to different digitally controlled attenuators in multiple ways, and A0=A1+A2+...+A k , where A k is the kth AGC control value, which can be assigned to any one-level digital controlled attenuator. The specific assignment is shown in the following table:

[0094] Step 4: Calculate the noise coefficient under different AGC allocation modes.

[0095]

[0096] in,

[0097] F is the noise factor;

[0098] F k is the noise coefficient of the k-th digital controlled attenuator;

[0099] G k-1 is the gain of the k-1th stage digitally controlled attenuator.

[0100] The noise coefficients under different AGC allocation methods can be listed as follows:

[0101] Step 5: Calculate the third-order intercept point under different AGC allocation methods.

[0102]

[0103] in,

[0104] Q3 is the third-order intercept point;

[0105] G is the sum of the gains of each level of digitally controlled attenuators;

[0106] G k is the k-th digital controlled attenuator gain;

[0107] Q 3,k is the third-order intercept point of the k-th digitally controlled attenuator.

[0108] The third-order intercept points under different AGC allocation methods can be listed as follows:

[0109] Step 6: Set indicator requirements for different radar usage scenarios.

[0110] According to the radar's capability requirements for usage scenarios, set the indicator requirements for noise coefficient and its third-order intercept point in different radar usage scenarios.

[0111] In the non-interference upward view scenario, the echo power is weak, there is no need to suppress the strong power echo signal, the third-order intercept point requirement is low, and the minimum noise coefficient can be pursued to achieve the maximum detection power. The index requirement for non-interference upward view can be set to F <F t1 And Q3>Q 3,t1 , where F t1 is the noise coefficient threshold in the scenario of no interference upward viewing, which can be 4dB; Q 3,t1 It is the third-order intercept point threshold in the scenario of no interference upward viewing, which can be specifically 16dBm.

[0112] In the non-interference down-view and co-frequency high-power interference scenarios, the echo intensity is relatively large. In order to avoid the influence of false alarm caused by third-order intermodulation, a higher third-order intercept point is required. At the same time, the influence of the noise coefficient needs to be considered to achieve a certain balance between the two. The indicator requirement for non-interference down-view can be set as F <F t2 And Q3>Q 3,t2 , where F t2 It is the noise coefficient threshold in the non-interference use scenario, which can be 6dB; Q 3,t2 is the third-order intercept threshold in the non-interference scenario, which can be 20dBm. And the index requirement for high-power interference in the same frequency is set to F <F t3 And Q3>Q 3,t3 Among them, F t3 is the noise coefficient threshold in the scenario of no interference upward viewing, which can be 12dB; Q 3,t3 It is the third-order intercept point threshold in the scenario of same-frequency high-power interference, which can be specifically taken as 23dBm.

[0113] In the scenario of high-power interference with different frequencies, since the analog-to-digital converter cannot sample the high-power interference signal with different frequencies outside the band, more attenuation needs to be allocated to the front-end digital attenuator when performing AGC allocation in this scenario to avoid saturation of the front-end amplifier caused by the high-power signal outside the band. The index requirement of high-power interference with different frequencies can be set as F <F t4 And Q3>Q 3,t4 , and A 01 >A 1t , where F t4 is the noise coefficient threshold in the scenario of high-power interference with different frequencies, which can be 16dB; Q 3,t4 A is the third-order intercept threshold in the scenario of high-power interference with different frequencies, which can be 26dBm; 01 A is the AGC control value of the first-stage digital controlled attenuator; 1t It is the AGC control value threshold of the first-stage digital controlled attenuator in the scenario of hetero-frequency high-power interference, which can be specifically 8dB.

[0114] Step 7: Select the AGC allocation method and perform automatic gain control on the radar.

[0115] From different AGC allocation methods, select the AGC allocation method that meets the requirements of radar usage scenario indicators.

[0116] If only one of the different AGC allocation methods meets the radar usage scenario indicator requirements, then this AGC allocation method is used to perform automatic gain control on the radar.

[0117] If there are multiple AGC allocation methods that meet the radar usage scenario indicator requirements, the AGC allocation method with the smallest noise coefficient will be used to perform automatic gain control on the radar.

[0118] In a specific embodiment, the radar beam is pointed at an elevation angle θ El = -4°, when the frame frequency domain inherent noise N I =60dBm, when the frame frequency domain real-time noise N R =62dBm, frequency domain interference detection threshold T = 10dB, when the frame time domain base noise N T =40dBm, sampling point power value P i =43dBm, time domain interference detection threshold T t =10dB.

[0119] θ El <0 and N R -N I =62dBm-60dBm=2dBm<10dBm, the use scenarios of identification radar can be divided into non-interference downward-looking scenarios.

[0120] AGC pre-control value A pre =10dB, analog-to-digital converter sampling quantization value P now =70dBm, analog-to-digital converter target quantization value P target =60dBm, calculate the AGC control value A0=A pre +P now -P target =10+70-60=20dB.

[0121] There are n=5 devices in the radar receiving RF link, including k=3 digitally controlled attenuators. The digitally controlled attenuators include 0 / 2 / 4 / 8 / 16 multiple attenuation levels, as shown in the following table: Gain Noise Figure Third-order intercept point Digital Control Attenuator 1 0 / -2 / -4 / -8 / -16dB 0 / 2 / 4 / 8 / 16dB 100dBm Amplifier 1 30dB 3dB 12dBm Digital Control Attenuator 2 0 / -2 / -4 / -8 / -16dB 0 / 2 / 4 / 8 / 16dB 100dBm Amplifier 2 30dB 9dB 33dBm Digital Control Attenuator 3 0 / -2 / -4 / -8 / -16dB 0 / 2 / 4 / 8 / 16dB 100dBm

[0122] The same AGC control value can be distributed to different digital attenuators in multiple ways. The AGC control value of 20dB can be distributed to different digital attenuators, combining different AGC distribution methods, as shown in the following table: serial number Digital Control Attenuator 1 Digital Control Attenuator 2 Digital Control Attenuator 3 1 0 4 16 2 0 16 4 3 2 2 16 4 2 16 2 5 4 0 16 6 4 8 8 7 4 16 0 8 8 4 8 9 8 8 4 10 16 0 4 11 16 2 2 12 16 4 0

[0123] Calculate the noise coefficient under different AGC allocation methods, as shown in the following table: serial number Digital Control Attenuator 1 Digital Control Attenuator 2 Digital Control Attenuator 3 Noise Factor F 1 0 4 16 3.04 2 0 16 4 3.64 3 2 2 16 5.03 4 2 16 2 5.64 5 4 0 16 7.02 6 4 8 8 7.11 7 4 16 0 7.64 8 8 4 8 11.04 9 8 8 4 11.11 10 16 0 4 19.02 11 16 2 2 19.03 12 16 4 0 19.04

[0124] Calculate the third-order intercept points under different AGC allocation methods, as shown in the following table: serial number Digital Control Attenuator 1 Digital Control Attenuator 2 Digital Control Attenuator 3 <![CDATA[Third-order intercept point Q3]]> 1 0 4 16 15.81 2 0 16 4 21.21 3 2 2 16 16.21 4 2 16 2 23.21 5 4 0 16 16.49 6 4 8 8 22.46 7 4 16 0 25.21 8 8 4 8 23.81 9 8 8 4 26.46 10 16 0 4 28.48 11 16 2 2 30.21 12 16 4 0 31.81

[0125] Among the different AGC allocation methods, the AGC allocation methods No. 2 and No. 4 meet the indicator requirements in the non-interference downward viewing scenario F <F t2 =6dB and Q3>Q 3,t2 =20dBm, but the noise coefficient of AGC allocation method No. 2 is smaller, so AGC allocation method No. 2 is selected to perform automatic gain control on the radar, as shown below: serial number Digital Control Attenuator 1 Digital Control Attenuator 2 Digital Control Attenuator 3 Noise Figure Third-order intercept point 2 0 16 4 3.64 21.21

[0126] So far, the technical solution of the present application has been described in conjunction with the preferred embodiments shown in the accompanying drawings. Those skilled in the art should understand that the scope of protection of the present application is obviously not limited to these specific embodiments. Without departing from the principles of the present application, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the scope of protection of the present application.

Claims

1. A radar automatic gain control method based on scene perception, characterized in that: include: Step 1: Identify radar usage scenarios: Radar usage scenarios are divided into non-interference upward view, non-interference downward view, same-frequency high-power interference, and different-frequency high-power interference; Step 2: Calculate the AGC control value; Step 3: Combine different AGC allocation methods; Step 4: Calculate the noise coefficient under different AGC allocation modes; Step 5: Calculate the third-order intercept point under different AGC allocation modes; Step 6: Set the indicator requirements for different radar usage scenarios: According to the radar's capability requirements for usage scenarios, set the index requirements for noise coefficient and its third-order intercept point in different radar usage scenarios; Step 7: Select the AGC allocation method and perform automatic gain control on the radar: From different AGC allocation methods, select the AGC allocation method that meets the radar usage scenario indicator requirements; If only one of the different AGC allocation methods meets the radar usage scenario indicator requirements, then the AGC allocation method is used to perform automatic gain control on the radar; If there are multiple AGC allocation methods that meet the radar usage scenario indicator requirements, the AGC allocation method with the smallest noise coefficient will be used to perform automatic gain control on the radar.

2. The radar automatic gain control method based on scene perception according to claim 1, characterized in that: In step 1, identify the radar usage scenario, specifically: If N R -N I < T, and θ El > 0, then the recognized radar usage scenario is non-interfered upward viewing; If N R -N I < T, and θ El < 0, then the radar usage scenario is identified as non-interfered down-looking; If N R -N I >T, and there are no consecutive l sampling values ​​that make P i -N T <T t When , the radar usage scenario is identified as co-frequency high-power interference; If N R -N I >T, and there are l consecutive sampling values ​​such that P i -N T <T t When , the radar usage scenario is identified as a heterodyne high-power interference scenario; in, N R is the real-time noise in the frame frequency domain; N I is the inherent noise in the frame frequency domain; T is the frequency domain interference detection threshold; θ El is the radar beam pointing elevation angle; P i is the power value of the i-th sampling point, i=1,...,L, L is the total number of sampling points; N T is the time domain background noise of the current frame; T t is the time domain interference detection threshold.

3. The radar automatic gain control method based on scene perception according to claim 1, characterized in that: In step 2, the AGC control value is calculated, specifically: A0=A pre +P now -P target ; in, A0 is the AGC control value; A pre is the AGC pre-control value; P now Sample quantized values ​​for analog-to-digital converters; P target Expected echo quantization value for the analog-to-digital converter.

4. The radar automatic gain control method based on scene perception according to claim 1, characterized in that: In step 4, the noise coefficient under different AGC allocation modes is calculated, specifically: in, F is the noise factor; F k is the noise coefficient of the k-th digital controlled attenuator; G k-1 is the gain of the k-1th stage digitally controlled attenuator.

5. The radar automatic gain control method based on scene perception according to claim 1, characterized in that: In step 5, the third-order intercept points under different AGC allocation modes are calculated, specifically: in, Q3 is the third-order intercept point; G is the sum of the gains of each level of digitally controlled attenuators; G k is the k-th digital controlled attenuator gain; Q 3,k is the third-order intercept point of the k-th digitally controlled attenuator.

6. The radar automatic gain control method based on scene perception according to claim 1, characterized in that: In step 6, set the indicator requirements for different radar usage scenarios, specifically: Set the requirement for no interference upward viewing to F <F t1 And Q3>Q 3,t1 , where F t1 is the noise coefficient threshold in the scenario of no interference upward viewing; Q 3,t1 is the third-order intercept threshold in the non-interference upward viewing scenario; F is the noise factor; Q3 is the third-order intercept point; Set the requirement for no interference downward viewing to F <F t2 And Q3>Q 3,t2 , where F t2 is the noise coefficient threshold in the non-interference downward viewing scenario; Q 3,t2 is the third-order intercept threshold in the non-interference downward viewing scenario; Set the index requirement of co-frequency high-power interference to F <F t3 And Q3>Q 3,t3 Among them, F t3 is the noise coefficient threshold in the scenario of no interference upward viewing; Q 3,t3 It is the third-order intercept point threshold in the scenario of co-frequency high-power interference; Set the index requirement of heterodyne high power interference to F <F t4 And Q3>Q 3,t4 , and A 01 >A 1t , where F t4 is the noise coefficient threshold in the scenario of high-power interference with different frequencies; Q 3,t4 A is the third-order intercept threshold in the scenario of high-power interference with different frequencies; 01 A is the AGC control value of the first-stage digital controlled attenuator; 1t It is the AGC control value threshold of the first-stage digitally controlled attenuator in the scenario of heterodyne high-power interference.

7. The radar automatic gain control method based on scene perception according to claim 6, characterized in that: F t1 Take 4dB; Q 3,t1 Take 16dBm.

8. The radar automatic gain control method based on scene perception according to claim 6, characterized in that: F t2 Take 6dB; Q 3,t2 Take 20dBm.

9. The radar automatic gain control method based on scene perception according to claim 6, characterized in that: F t3 Take 12dB; Q 3,t3 Take 23dBm.

10. The radar automatic gain control method based on scene perception according to claim 6, characterized in that: F t4 Take 16dB; Q 3,t4 Take 26dBm; A 01 Take 8dB.