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Distributed multi-radar joint registration and multi-target tracking method in an unknown field of view

A multi-target tracking and distributed technology, applied in the field of radar detection, can solve problems such as large communication burden, and achieve the effect of low computational complexity

Active Publication Date: 2022-05-31
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
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Problems solved by technology

Therefore, this method creates a large communication burden between radar nodes

Method used

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  • Distributed multi-radar joint registration and multi-target tracking method in an unknown field of view
  • Distributed multi-radar joint registration and multi-target tracking method in an unknown field of view
  • Distributed multi-radar joint registration and multi-target tracking method in an unknown field of view

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Embodiment Construction

[0058] The technical scheme of the present invention is further described below in conjunction with the accompanying drawings.

[0062]

[0063] represents the target state at the i radar node, where the superscript represents the transpose of the matrix, ξ

[0066]

[0068] The local posterior probability density of radar node i is decomposed into a series of sub-densities using the above-mentioned spatial decomposition:

[0069]

[0070] where the sub-density of the subspace is expressed as:

[0071]

[0072] where is the indicator function of the subspace.

[0074]

[0076]

[0078]

[0079] wherein ||D||

[0082]

[0086]

[0088] Then use the corresponding minimum weighted Cauchy Schwarz divergence sum as the loss with the position parameter as a variable

[0089]

[0091]

[0093] Using the above-mentioned loss function, the radar position parameters in each cluster are estimated:

[0094]

[0097]

[0098] where represents a set of radar nodes adjacent to radar node i.

[01...

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Abstract

The invention discloses a distributed multi-radar joint registration and multi-target tracking method under an unknown visual field, which overcomes the problem that the influence of the radar visual field is not considered in the prior multi-radar registration. Its characteristics are: for the problem that the target state space between radars cannot be matched when the radar field of view is unknown, firstly, the local posterior probability assumption density of each radar node is decomposed into multiple sub-density by using the clustering algorithm based on space decomposition and matching, Every two radar nodes match the sub-density to realize the distinction between the common and non-common radar horizons; respectively construct a loss function in the cluster that can measure the difference between the posterior sub-density and estimate the radar position; after registration, Fusion is performed separately within the cluster, and finally the resulting fusion sub-density is merged. The invention solves the problem of performing joint multi-radar position estimation and multi-target tracking under the condition of unknown multi-radar sight domain and multi-station radar inaccurate positioning, and has the characteristics of being applicable to practical engineering problems and having low computational complexity.

Description

Distributed multi-radar co-registration and multi-target tracking method in unknown field of view technical field The invention belongs to the technical field of radar detection, in particular to a distributed multi-radar joint configuration under a kind of unknown field of view. Accurate and multi-target tracking methods. Background technique [0002] With the development of modern information technology, multi-radar detection systems have been widely used in military and civilian fields, Much attention has been paid to radar target tracking. Compared to a single radar, multi-radar target tracking has enhanced information Acquire capabilities, expand the radar detection field of view, and improve system tracking performance and robustness. Among them, the distributed fusion is composed of It has received extensive attention due to its high flexibility, low computational burden and high robustness. Multi-radar information in progress During fusion, due to the posi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/72G01S13/87G01S7/41G01S7/40
CPCG01S13/726G01S13/87G01S7/415G01S7/40
Inventor 易伟王紫婷杨成新张大琳柴雷孔令讲
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA