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Cognitive radar robust sidelobe suppression method based on sequence optimization

A cognitive radar and sidelobe suppression technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as unsatisfactory extraction of weak and small targets, full use of unfavorable information to correct errors in a timely manner, and lack of pertinence in sidelobe suppression.

Active Publication Date: 2018-12-18
SHIJIAZHUANG TIEDAO UNIV
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Problems solved by technology

[0003] 1. Using a mismatch filter for sidelobe suppression, this method is at the cost of a certain signal-to-noise ratio loss, and the suppression effect is limited
2. The CLEAN algorithm estimates the position of the large target and removes the influence of the distance side lobe of the large target. The extraction effect of the algorithm for the weak and small targets is not ideal
However, this method is an overall estimate of TIR, lacks pertinence in sidelobe suppression, and is not conducive to the full use of information and timely correction of errors

Method used

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  • Cognitive radar robust sidelobe suppression method based on sequence optimization
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  • Cognitive radar robust sidelobe suppression method based on sequence optimization

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Embodiment

[0079] In order to verify the effectiveness and superiority of the method of the present invention, through the following two sets of simulation experiments, the APC method and the EBD method were compared and analyzed with the method of the present invention in terms of imaging accuracy, algorithm convergence and anti-noise robustness. In the experiment, the transmitting waveform used by the APC method is the M sequence with N=40, and both the EBD method and the method of the present invention use it as the initial transmitting waveform. Taking the SR-71 reconnaissance plane as the target to be estimated, it contains L=20 range units in total, and its one-dimensional high-resolution range image is as follows: figure 2 shown. noise covariance matrix in Indicates the noise power.

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Abstract

The invention relates to a cognitive radar robust sidelobe suppression method based on sequence optimization, comprising the following steps: dividing a to-be-detected region in range resolution cells, sequentially performing transmitting-receiving joint optimization on each range resolution cell, building an objective function and searching an optimal transmitted waveform and an optimal receivingfilter; solving the objective function by adopting a loop optimization method, so that sidelobe suppression performance can meet preset requirements, namely for a first range resolution cell, a transmitted waveform and receiving filter joint optimization problem is solved, and in each iteration, the joint optimization problem is decomposed into two independent optimization problems, one is that the receiving filter (described in the specification) is optimized by a fixed waveform (described in the specification), and the other one is that a waveform (described in the specification) is optimized on the basis of a known filter (described in the specification). The method provided by the invention adjusts a transceiver system according to scene information fed back in real time, and perception of radar on an environment is effectively improved, thus sidelobe suppression performance is improved, and anti-noise robustness is improved.

Description

technical field [0001] The invention relates to a cognitive radar sidelobe suppression method, in particular to a sequential optimization-based cognitive radar robust sidelobe suppression method. Background technique [0002] With the increase of radar signal bandwidth and the improvement of resolution, the target echo model becomes a multi-scattering center model. When there are targets in the adjacent positions in the range image, the output of the matched filter may appear: 1) Strong target side lobes Cover up weak targets; 2) a large number of false targets. How to effectively suppress the range sidelobe is the key to improving the radar detection performance, especially the detection performance of weak targets. In order to solve this problem, the following methods are often adopted in the prior art to solve: [0003] 1. Use a mismatch filter for sidelobe suppression. This method is at the cost of a certain signal-to-noise ratio loss, and the suppression effect is lim...

Claims

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Application Information

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IPC IPC(8): G01S7/28
CPCG01S7/2813
Inventor 庄珊娜金松坡
Owner SHIJIAZHUANG TIEDAO UNIV
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