Passive radar tracking of a maneuvering target using variable structure multiple-model algorithm

Yunxiang Mao; Xiaohui Zhou; Jin Zhang

doi:10.1117/12.2021255

13 March 2013 Passive radar tracking of a maneuvering target using variable structure multiple-model algorithm

Yunxiang Mao, Xiaohui Zhou, Jin Zhang

Proceedings Volume 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies; 87842T (2013) https://doi.org/10.1117/12.2021255
Event: Fifth International Conference on Machine Vision (ICMV 12), 2012, Wuhan, China

Abstract

The variable structure multiple-model (VSMM) algorithm to passive radar maneuvering target tracking problem is considered. A new VSMM design, expected mode augmentation based on likely model set (LMS-EMA) algorithm is presented. The LMS-EMA algorithm adaptively determines the fixed grid model set using likely model set (LMS) algorithm, and generates the expected mode based on this set. Then, the union of fixed grid model set and expected model is used to perform multiple-model estimation. The performance of the LMS-EMA algorithm is evaluated via simulation of a highly maneuvering target tracking problem.

Citation Download Citation

Yunxiang Mao, Xiaohui Zhou, and Jin Zhang "Passive radar tracking of a maneuvering target using variable structure multiple-model algorithm", Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 87842T (13 March 2013); https://doi.org/10.1117/12.2021255

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