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A passive sonar sparse array position optimization method

An optimization method and array position technology, applied in complex mathematical operations, radio wave measurement systems, instruments, etc., can solve problems such as slow convergence speed and large amount of calculation, reduce the number, enhance the robustness, and improve the target orientation capability. Effect

Active Publication Date: 2022-07-15
HARBIN ENG UNIV
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AI Technical Summary

Problems solved by technology

In recent years, intelligent optimization algorithms such as genetic algorithms have also been widely used in the field of array beamforming. Although genetic algorithms can better solve the problems of nonlinear and non-convex optimization, they also have the problem of large amount of calculation and slow convergence speed.

Method used

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  • A passive sonar sparse array position optimization method
  • A passive sonar sparse array position optimization method
  • A passive sonar sparse array position optimization method

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Embodiment Construction

[0022] The present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.

[0023] The steps of the present invention are as follows:

[0024] Step 1: Build an arbitrary array and adaptively select the detection array elements: select the detection array elements from the left and right 60° fan angles for the hypothetical target;

[0025] Step 2: sparsely represent the detection array elements, and apply the improved genetic algorithm: sparsely represent the detection array elements (0, 1 representation), construct a relative position domain, and express the relative position of the detection array elements by real numbers. The 0,1 encoding of the representation maps to the real encoding of the relative position field;

[0026] Step 3: Coding domain transformation, crossover operator improvement: perform non-uniform order crossover processing in the relative position domain to obtain the relative position doma...

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Abstract

The invention provides a passive sonar sparse array position optimization method, which belongs to the field of sonar array signal processing. The present invention is realized as follows: (1) constructing an array of any shape, and adaptively selecting the detection array elements; (2) sparsely representing the detection array elements, applying an improved genetic algorithm; (3) transforming the coding domain, and improving the crossover operator ( 4) Iterative optimization, analysis of interference suppression ability, and output of optimal array positions; the advantages of the present invention are (1) effectively reducing the number of detection array elements and reducing data redundancy; (2) the detection resolution is almost unchanged, and the anti-interference ability is enhanced; (3) Enhance the robustness of the algorithm.

Description

technical field [0001] The invention relates to an underwater sonar array signal processing algorithm, and the specific implementation relates to a sparse array sparse array position optimization method based on passive detection scenarios. The invention can be applied to the formation optimization of the unmanned underwater platform, and belongs to the field of underwater acoustic array signal processing. Background technique [0002] In recent years, underwater sonar array platforms have become more and more widely used. For general sonar, the number of underwater acoustic transducers is one of the important guarantees for target detection results. In order to pursue high resolution of underwater targets, detection sonar design It tends to have large apertures and multiple array elements, which leads to higher hardware costs and a rapidly growing data processing burden. How to use fewer array elements to achieve high resolution of the detection target while taking into ac...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/52G01S7/53G06F17/18
CPCG01S7/52G01S7/53G06F17/18
Inventor 生雪莉杨超然刘婷刘梦于泾蕾郭龙祥殷敬伟
Owner HARBIN ENG UNIV
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