空基多雷达航迹抗差关联算法

doi:10.7527/S1000-6893.2017.21691

Abstract

Abstract: An air-platform multi-radar anti-bias tracks association algorithm is proposed based on the statistical feature of the Gaussian random vector. The algorithm is adaptive to complicated environment such as far detection range, time-varied measurement biases, and different targets reported by different radars. The anti-bias tracks association conditions for three or more radars and the multi-radar anti-bias tracks association flow are proposed based on the difference between bias vectors. Adaptability experiments are established based on three factors including the targets density, random error and sensor bias to validate the performance of the algorithm. Monte Carlo simulations demonstrate that the proposed algorithm can significantly improve the association accuracy and the adaptability to complicated environment compared with the algorithm based on the reference topology feature (RET algorithm) and the confidential algorithm based on bias detection (confidential algorithm).

Key words: track association, measurement bias, air-platform, multi-radar, Gaussian random vector

CLC Number:

V243.2

QI Lin, LIU Yu, REN Hualong, HE You. Air-platform multi-radar anti-bias tracks association algorithm[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2018, 39(3): 321691-321691.

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Air-platform multi-radar anti-bias tracks association algorithm

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