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Multi-sensor adaptive angle control method based on glmb filter

An adaptive control and multi-sensor technology, applied in the field of sensors, can solve problems such as high computational cost

Active Publication Date: 2021-05-04
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the disadvantages of the prior art based on the multi-sensor adaptive angle adjustment of the generalized label multi-Bernoulli filter that the calculation cost is too large, to provide a method that can ensure a small error loss, and solve the problem of accuracy and calculation cost All-realizable multi-sensor adaptive angle control method based on GLMB filter

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  • Multi-sensor adaptive angle control method based on glmb filter
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Embodiment Construction

[0047] The invention provides a fast realization method of multi-sensor self-adaptive angle control based on GLMB filter, which overcomes the problem of excessive calculation cost of existing multi-sensor self-adaptive angle control. Its characteristic is to consider the problem of grouping between sensors. First, each sensor performs generalized label multi-Bernoulli (GLMB) filtering, and then fuses based on the generalized covariance intersection (GCI) criterion to obtain the global optimal performance; then multi-target sampling is performed on the fused multi-target distribution, and then the Pseudo-prediction processing can obtain the pseudo-prediction distribution; use the multi-target sampled samples and the set of controllable angles to generate ideal measurements, and then perform several steps of iterative filtering on each single sensor to obtain the pseudo-update distribution; Update the distribution to perform pairwise GCI fusion, where the even number of sensors ...

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Abstract

The invention discloses a multi-sensor self-adaptive angle control method based on GLMB filtering, comprising the following steps: S1, using a generalized label multi-Bernoulli filter to perform local filtering; S2, performing distributed fusion based on a generalized covariance cross criterion; S3, multi-target sampling processing; S4, use generalized label multi-Bernoulli filter for pseudo-prediction; S5, calculate the ideal measurement of each sensor; S6, group the sensors in pairs, generate a decision set, Perform distributed fusion processing on the sensor pairs; S7, calculate the Cauchy-Schwartz divergence under the control decision combination of paired pairs; S8, select the local optimal sensor control decision for each sensor pair; S9, combine all the local optimal sensor control decisions; The optimal sensor control decisions are combined into one set. The invention can ensure small error loss, and solve the multi-sensor self-adaptive angle control based on GLMB filtering, which can be realized in both precision and calculation cost.

Description

technical field [0001] The invention belongs to the technical field of sensors, and relates to the field of multi-source information fusion algorithm and multi-sensor control technology under random set theory, in particular to a multi-sensor self-adaptive angle control method based on a GLMB filter. Background technique [0002] With the rapid development of modern technology, a single sensor cannot meet the needs of the new generation of combat systems for detection information due to limitations determined by its own characteristics, while multi-sensor networks can provide observation data of different dimensions, which not only expands the detection range of the network, but also The detection ability and spatial resolution of the system are improved, thereby improving the reliability of the system detection. Because multi-sensor can improve the performance of target discovery, positioning accuracy and recognition ability, it has been developed and applied rapidly in rec...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20
CPCG06F30/20
Inventor 易伟李固冲杨琪孙智田团伟周涛李溯琪孔令讲
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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