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Random set theory-based multi-sensor adaptive control method

A multi-sensor, random set technology, applied in the direction of instrumentation, radio wave reflection/re-radiation, utilization of re-radiation, etc., can solve the problems of single sensor, application, etc.

Active Publication Date: 2016-11-23
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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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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Embodiment Construction

[0051] The present invention mainly adopts the method of computer simulation to verify, and all steps and conclusions are verified correctly on MATLAB-R2010b. The specific implementation steps are as follows:

[0052] Step 1. Each local sensor receives the echo signal and uses the generalized label multi-objective Bernoulli filter for local filtering. Therefore, the local posterior probability density distribution obtained by each sensor is the generalized label multi-objective Bernoulli distribution:

[0053]

[0054] Among them, π i (X) represents the posterior probability distribution of the i-th (i=1,2,...,N) sensor, and X represents the target state set X={x 1 ,...,x n},x n Indicates the state of the nth target; is a discrete space; Represents the weight, non-negative and satisfies Indicates the space of the target track, L is a set of any number of targets; is a probability density function that satisfies

[0055] Step 2. Select multi-sensor fusion cri...

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Abstract

The invention discloses a random set theory-based multi-sensor adaptive control method. With the random set theory-based multi-sensor adaptive control method, general labeling multi-target Bernoulli filter-based multi-sensor adaptive control can be realized. According to the method, in a filtering stage, each sensor carries out filtering locally and carries out distributed fusion, and therefore, optimal global performance can be realized. In a control stage, firstly, fused multi-target distribution is sampled; secondly, pseudo prediction is carried out, pseudo prediction distribution is obtained, pseudo updated distribution is obtained through a plurality of steps of filtering iteration, and distributed fusion is carried out on the pseudo updated distribution, so that fused pseudo updated distribution can be obtained; and finally, Cauchy-Schwarz divergence between the pseudo updated distribution and the fused pseudo updated distribution is calculated, and therefore, an optimal sensor control decision can be selected out. With the method adopted, problems in multi-sensor optimal control in practical multi-sensor network application can be solved, and thus, multi-sensor adaptive control can be realized.

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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/72
CPCG01S13/726
Inventor 易伟姜萌陈方园王经鹤王佰录李溯琪孔令讲
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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