拓扑序列航迹相关的高效修正算法

doi:10.3969/j.issn.1001-2400.2011.02.032

Abstract

Abstract:

To release the huge calculation load for the track correlation algorithm based on the topology sequence facing large sensor system errors, the approximate linear transformation relationship between topology sequences from different sensors is firstly discussed, where sensor system errors are considered. The SVD method for space points set matching problem is directly used to estimate the linear transformation. A decision for topology sequences matching is made after validating the linear parameters. The SVD based track correlation algorithm is efficient, especially for far-away targets. The efficiency of the SVD based algorithm is validated by simulation. Because of removing the dilemma of choosing the angle and range search step sizes for the basic topology sequence algorithm, not only is the computational time reduced about 90%, but also the successful rate of correlation is improved.

Key words: data fusion, track correlation, SVD, topology

WU Zemin;JIANG Yejin;REN Shujie. Effectively modified topology sequence track correlation algorithm[J].J4, 2011, 38(2): 180-186.

References

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Effectively modified topology sequence track correlation algorithm

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