无先验关联的雷达系统误差协同配准算法

doi:10.3969/j.issn.1001-2400.2013.05.005

Abstract

Abstract:

Utilizing the Precise Participant Location and Identification (PPLI) reporting function of cooperative targets in the data link system, a collaborative radar registration algorithm is presented without a priori information on track-to-track association and system error scale. The distribution feature of points which is obtained by mapping any pair of local radar track and PPLI track to the parameter space is analyzed. A method is provided for preliminarily estimating the radar system error by points cumulation and peak detection in the parameter space. An unbiased estimation of the cumulative squared Mahalanobis distance of the track pair is defined as the associating cost, and the track-to-track association problem is formulized as a linear program problem to carry out global optimal track assignments. The radar system error is estimated according to the result of track association. The performance of the proposed algorithm is validated by Monte Carlo simulations.

Key words: target tracking, sensor registration, bias estimation, track correlation

LIU Xi;YIN Hao;WU Zemin;TIAN Chang. Collaborative registration algorithm for the radar system error without a priori association[J].J4, 2013, 40(5): 26-32+140.

References

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Collaborative registration algorithm for the radar system error without a priori association

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