组网无源雷达高速多目标初始化及跟踪算法

doi:10.3969/j.issn.1001-2400.2014.06.005

Abstract

Abstract:

A new extension of the sequential Monte Carlo multiple-model probability hypothesis density (SMC-MMPHD) filter is presented in order to track multiple high-speed maneuvering targets via passive coherent location (PCL) radar. With the standard MMPHD filter it is assumed that the target birth intensity is known a priori, but in PCL radar where the targets can appear anywhere in the surveillance volume and the velocity range is wide, this is clearly inefficient. The extension enables us to adaptively initialize the new targets at each scan using the localization results of the measurements which are far away from the current estimated multi-target states and to effectively track multiple high-speed maneuvering targets. Simulation results show that the proposed method is viable.

Key words: passive coherent location, maneuvering targets tracking, high-speed, initialization of new targets, probability hypothesis density

CLC Number:

TN953.5

HU Zijun;ZHANG Linrang;ZHAO Shanshan;WANG Jingli. Joint initialization of high-speed targets via multistatic passive-radar measurements and its tracking algorithm[J].J4, 2014, 41(6): 25-30+110.

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Joint initialization of high-speed targets via multistatic passive-radar measurements and its tracking algorithm

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