Cardinality balanced multitarget multi‐Bernoulli filter for multipath multitarget tracking in over‐the‐horizon radar. Issue 3 (1st March 2016)

• Record Type: Journal Article
• Authors: Qin, Yong; Ma, Hong; Cheng, Li; Li, Yang; Zhou, Xueqin
• Is Part Of: IET radar, sonar & navigation. Volume 10:Issue 3(2016)
• Page Start: 535
• Page End: 545
• Publication Date: 2016-03-01
• Subjects: target tracking -- tracking filters -- radar tracking -- ionospheric electromagnetic wave propagation -- set theory -- Monte Carlo methods -- Gaussian processes -- mixture models -- Kalman filters -- nonlinear filters; multipath multitarget tracking -- over‐the‐horizon radar -- multiple ionosphere propagation -- finite set statistics -- FISST -- sequential Monte Carlo method -- Gaussian mixture method -- extended Kalman filter -- nonlinear measurement model -- GM‐MP‐CBMeMBer filter -- cardinality balanced multitarget multiBernoulli filter -- OTHR; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/iet-rsn.2015.0284
• Languages: English
• ISSNs: 1751-8784

Abstract

Abstract : Conventional multitarget tracking systems presume that each target produces at most one measurement per scan. Owing to the multiple ionosphere propagation paths in over‐the‐horizon radar, this assumption is not valid. To solve this problem, a novel multitarget tracking algorithm based on the finite set statistics (FISST), called multipath cardinality balanced multitarget multi‐Bernoulli (MP‐CBMeMBer) filter, is proposed in this study. First, the authors derive the MP‐CBMeMBer filter based on the FISST, and then both the sequential Monte Carlo and Gaussian mixture (GM) method are used to implement the proposed filter. Moreover, the extended Kalman filter is implemented to deal with the problem of the non‐linear measurement models for the GM‐MP‐CBMeMBer filter. Eventually, the simulation results are presented to demonstrate the effectiveness of the proposed filter.