Radar cooperative information sharing distribution path optimization method based on chaotic neural network

Abstract

The invention relates to a radar cooperative information sharing distribution path optimization method based on a chaotic neural network. The method is mainly suitable for the radar cooperative information sharing distribution path optimization in a radar cooperative process of a centerless node. The main flow is as follows: firstly, constructing a target optimization function with constraint conditions according to the basic requirements of a radar cooperative information sharing distribution path optimization problem; then constructing an energy function of the radar cooperative information sharing distribution path optimization problem; constructing a chaotic neuron model; constructing an exponential function self-feedback chaotic neural network model; and finally using the exponential function self-feedback chaotic neural network to perform radar cooperative information sharing distribution path optimization. The method provided by the invention has the advantages of simple implementation method, good optimization effect and sufficient theoretical foundation of used method, and the radar cooperative information sharing distribution path optimization problem in radar cooperative detection of the centerless node can be solved quickly and effectively.

Description

technical field [0001] The invention is a radar cooperative detection system, in particular to a radar cooperative information sharing and distribution optimization technology. Background technique [0002] In the process of radar cooperative detection without central nodes, there is a problem of radar cooperative information sharing and distribution path planning, that is, in the established radar cooperative network, for a certain information packet, each radar is regarded as a node v i , the edge indicates that there is an interconnection and intercommunication relationship. If the radar network has n nodes, at least n edges are required to distribute shared information. If a path that can reach each node is randomly selected, the randomness is too large, and sometimes a loop will be selected. In the worst case, there may be (n-1) paths! / 2, it is easy to cause problems such as excessive information delay and out-of-control information redundancy. The traditional way of...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a method for optimizing the path of radar cooperative information sharing and distribution in the process of radar cooperative detection without a central node

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