Track correlation method by taking topological sequences as characteristics

A topological sequence and track-related technology, applied in radio wave measurement systems, instruments, etc., can solve problems affecting the practical application of algorithms, fuzzy parameter uncertainty, etc., and achieve the effect of avoiding the decline of detection ability

Inactive Publication Date: 2010-09-22
PLA UNIV OF SCI & TECH
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Problems solved by technology

Although this method can introduce a variety of attributes to make track-related decisions, the selection of fuzzy parameters has great uncertainty, which seriously affects the practical application of the algorithm.

Method used

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  • Track correlation method by taking topological sequences as characteristics
  • Track correlation method by taking topological sequences as characteristics
  • Track correlation method by taking topological sequences as characteristics

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Embodiment Construction

[0022] The method of the invention mainly includes two aspects: 1) the construction of the topological sequence; 2) the matching process of the topological sequence. Methods as below:

[0023] I. Constructing a target topology sequence for a single sensor:

[0024] Based on the target spatial position information of a single sensor, the topological sequence of each reference target is formed, and the formation process of each reference target topological sequence is:

[0025] 1) Calculate the position difference vector from the neighbor to the reference target;

[0026] 2), sort the position difference vectors obtained in step 1) according to the size of the azimuth angle, and the sorting result is the topological sequence of the reference target;

[0027] II. Match the topological sequence of the reference target, the matching process is:

[0028] 1) According to the similarity of spatial position, the reference target topology sequence formed by different sensors is filte...

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Abstract

The invention discloses a track correlation method by taking topological sequences as characteristics, which comprises steps of constructing target topological sequences of a single sensor and matching multi-sensor topological sequences and belongs to the field of track correlation of multi-sensor networking. The method comprises the following steps of: forming the topological sequences of each target on the basis of a target position data set of the single sensor; filtering the topological sequences of the each sensor according to the similarity of a spatial location to construct F statistic which is submitted to chi square distribution; and judging that the topological sequences which meet statistical tests are from the same target by angle fine turning. In the track correlation method by taking the topological sequences as the characteristics, the topological sequences are taken as a state variable for identifying the target and the method has high accuracy, higher robustness, and high correlation performance.

Description

technical field [0001] The invention relates to a track correlation method, in particular to a track correlation method characterized by a topological sequence, and belongs to the field of multi-sensor network track correlation. Background technique [0002] Multi-sensor networking is an effective means to improve the detection capability of sensors. In the case of human interference and random interference, the detection capability degradation caused by the performance degradation of a single sensor can be avoided through networking, and the purpose of system confrontation can be achieved. Due to the huge advantages of multi-sensor networking, networking has become the focus of attention in the radar field, which is seriously threatened by the "four resistances". There are two forms of radar networking: 1) each radar completes the target detection independently, and outputs the position status information of the target. A single radar is responsible for the target detectio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/02
Inventor 吴泽民王海任姝婕张娟
Owner PLA UNIV OF SCI & TECH
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