Cognitive radar robust sidelobe suppression method based on sequence optimization

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...

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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

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