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L-RFS mixed target structure modeling and estimating method with type probability

A hybrid target and structure modeling technology, applied in the field of sensors, can solve problems such as poor tracking effect and target tracking interference

Active Publication Date: 2020-10-23
HANGZHOU DIANZI UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

In the process of target tracking, multiple types of targets are often mixed together, which will cause some interference to the tracking of the target, resulting in poor tracking effect

Method used

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  • L-RFS mixed target structure modeling and estimating method with type probability
  • L-RFS mixed target structure modeling and estimating method with type probability
  • L-RFS mixed target structure modeling and estimating method with type probability

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Embodiment Construction

[0099] The present invention proposes an L-RFS mixed target structure modeling and estimation problem algorithm with type probability, including the following steps:

[0100] Step (1). The state of multiple targets at time k is represented by the following RFS set

[0101] x k ={(x k,1 ),(x k,2 ),…,(x k,N(k) )}∈F(χ) (1)

[0102] Among them, N(k) is the number of targets at time k, and there are N(k) multi-target states x k,1 ,x k,2 ,...x k,N(k) , each value is on the state space χ, and F(χ) represents the set of finite sets of χ.

[0103] Represent the hybrid target state with labeled tape types as follows:

[0104] x k ={(x k,1 , l 1 ,t 1 ),(x k,2 , l 2 ,t 2 ),…,(x k,n(k) , l n(k) ,t N(k) )} (2)

[0105] where the discretely distributed label space in Represents the set of positive integers, α i stands for different, label t represents the type component of the mixed target, t∈(T 0 , T 1 , T 2 ), T 0 Indicates point target, T 1 Indicates the ext...

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Abstract

The invention provides an L-RFS mixed target structure modeling and estimation method with a type probability. The L-RFS mixed target structure modeling and estimation method comprises three aspects of mixed target dynamic modeling, mixed target shape and type analysis and mixed target tracking estimation, and is implemented by the following steps of: firstly, establishing a measurement hybrid model of a hybrid target by combining a generalized label multi-Bernoulli filter, analyzing a target type, utilizing gibbs sampling and a BIC criterion to derive parameters of a finite hybrid model so asto carry out learning tracking on a hybrid target; and then adopting an equivalent measurement method to replace measurement generated by a multi-measurement target composed of an extended target anda group target, and adopting ellipse approximation modeling for the shape of the multi-measurement target to realize estimation of the shape of the multi-measurement target. According to the L-RFS mixed target structure modeling and estimation method, the target type can be effectively judged, and the mixed target is tracked.

Description

technical field [0001] The invention belongs to the field of sensor technology, in particular to the field of mixed target tracking, and relates to an L-RFS (Labeled-Random Finite Set, Labeled-Random Finite Set) mixed target structure modeling and estimation problem algorithm with type probability. Background technique [0002] In many fields such as civil and military, target tracking has always had an indispensable application significance. Due to the limitations of previous sensing technologies, traditional target tracking algorithms assume that the detected target is a point, that is, one target can only produce one measurement at most. With the continuous development of modern sensor technology, radar equipment can receive test data from different scattering points on the extended target, that is, one target can produce multiple measurements at different times, and this type of target is called an extended target. Another situation is that when multiple targets fly in ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/72G01S7/41G06F17/18G06F30/20
CPCG01S13/726G01S7/414G06F17/18G06F30/20
Inventor 刘伟峰黄梓龙王志
Owner HANGZHOU DIANZI UNIV
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