A multi-sensor adaptive control method based on random set theory

Abstract

The invention discloses a multi-sensor self-adaptive management and control method based on the random set theory, which realizes the multi-sensor self-adaptive management and control based on the generalized label multi-objective Bernoulli filter. Its characteristic is that in the filtering stage, each sensor is filtered locally and distributed in fusion, so as to obtain the optimal global performance; in the control stage, firstly, the fused multi-target distribution is sampled; then, pseudo-prediction is performed, Get the pseudo-prediction distribution, and obtain the pseudo-update distribution through several steps of filtering iterations, and then perform distributed fusion on the pseudo-update distribution to obtain the fused pseudo-update distribution; finally, calculate the pseudo-prediction distribution and the fused pseudo-update distribution The Cauchy-Schwarz divergence between them is used to select the optimal sensor control decision. This method effectively solves the problem of optimal management and control of multi-sensors in practical multi-sensor network applications, thereby realizing multi-sensor self-adaptive management and control.

Description

technical field [0001] The invention belongs to the technical field of radar, and in particular relates to the technical fields of multi-target tracking, distributed multi-sensor fusion and multi-sensor control under random set theory. Background technique [0002] The rapid development of stealth technology makes radar detection technology face great challenges. The target stealth design is based on the backscattering detection mechanism of the single-station radar, which can significantly reduce the backscattered energy captured by the single-station radar, so that the power of a single radar drops sharply, "power clearing". One of the challenges faced by radar detection technology is the interference of military electronic interference and urban civilian electromagnetic signal interference in modern warfare. Due to its scalability, flexibility, robustness and fault tolerance and many other advantages, the distributed multi-sensor network has been rapidly developed and wi...

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Problems solved by technology

[0005] The purpose of the present invention is to aim at the defective of background technology, research and design a kind of multi-sensor adaptive management and control method based on random set theory, realize the multi-sensor adaptive management and control based on generalized label multi-objective Bernoulli filter, solve the existing problem based on generalized The control method labeled multi-objective Bernoulli filter is only applicable to the problem of single sensor

This method effectively solves the problem of optimal management and control of multi-sensors in practical multi-sensor network applications, thus realizing multi-sensor adaptive management and control

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