Radar signal anti-interference low-loss recovery method of coding and decoding convolutional neural network

A convolutional neural network and radar signal technology, applied in the field of radar signal processing, can solve the problems of inability to meet the needs of radar imaging detection and identification, target information loss, radar echo defect, etc., to improve the detection effect and compensate for the loss of target information , the effect of improving the robustness

Pending Publication Date: 2022-07-22
XIDIAN UNIV
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[0004] However, in this method, since the active interference such as slice forwarding suppression is related to the echo, the masking of the interference will lead to the loss of information of the echo in the same direction as the interference.
Even when the target and interference features are highly o

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  • Radar signal anti-interference low-loss recovery method of coding and decoding convolutional neural network
  • Radar signal anti-interference low-loss recovery method of coding and decoding convolutional neural network
  • Radar signal anti-interference low-loss recovery method of coding and decoding convolutional neural network

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[0034] The embodiments and effects of the present invention will be described in further detail below with reference to the accompanying drawings.

[0035] refer to figure 1 , the implementation steps of this example are as follows.

[0036] Step 1: Build a low-loss repair network for time-frequency signals.

[0037] refer to figure 2 , the time-frequency signal low-loss repair network constructed in this example is composed of 14 convolutional layers, 7 upsampling layers and 7 splicing layers. The structural relationship is as follows:

[0038] Input → 1st convolutional layer → 2nd convolutional layer → 3rd convolutional layer → 4th convolutional layer → 5th convolutional layer → 6th convolutional layer → 7th convolutional layer → 1st nearest neighbor upsampling Layer → 1st stitching layer → 8th convolutional layer → 2nd nearest neighbor upsampling layer → 2nd stitching layer → 9th convolutional layer → 3rd nearest neighbor upsampling layer → 3rd stitching layer → 10th co...

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Abstract

The invention discloses a radar signal anti-interference low-loss recovery method of a coding and decoding convolutional neural network, and mainly solves the problem of target information loss after radar signal interference suppression in the prior art. The method comprises the following steps: 1) constructing a time-frequency signal low-loss recovery network; 2) generating a training data set composed of time frequency and mask data; 3) inputting data in the training data set into the time-frequency signal low-loss recovery network, and performing iterative training on parameters of the time-frequency signal low-loss recovery network by using a momentum method to reduce a loss function value; and 4) carrying out time-frequency domain anti-interference on the interfered radar echo, inputting the echo after anti-interference into the trained time-frequency signal low-loss recovery network to obtain a recovered time-frequency domain echo, and converting the recovered time-frequency domain echo into a time domain. The method has the capability of performing low-loss repair on defect signals after interference suppression in a time-frequency domain, has universality and robustness for time-frequency aggregation interference, and can be used for interference resistance of the synthetic aperture radar.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and further relates to a radar signal anti-jamming and low-loss recovery method, which can be used for anti-jamming synthetic aperture radar. Background technique [0002] Radar systems can achieve high-precision detection of stationary or moving targets in complex environments. However, in the complex electromagnetic interference, the radar system is easily affected by various complex electromagnetic interference such as active interference signals, wireless communication signals and other radar signals in the working frequency band, which seriously restricts the high-resolution imaging effect of the radar. Therefore, the anti-jamming technology is radar. One of the core problems of signal processing technology. [0003] Since the coupling between the active mainlobe interference and the target in the time-frequency domain is significantly reduced, the active mainlobe interferen...

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Application Information

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IPC IPC(8): G01S7/36G01S7/41G06N3/04G06N3/08G06T7/136
CPCG01S7/36G01S7/417G06T7/136G06N3/08G06T2207/10044G06T2207/20081G06T2207/20084G06N3/045
Inventor 李亚超岑熙顾彤韩朝赟郭亮张鹏李丝丝
Owner XIDIAN UNIV
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