DA-PMHT for Multistatic Passive Radar Multitarget Tracking in Dense Clutter Environment

Multistatic passive radar exploits illuminators of opportunity such as radio or television stations for tracking airborne targets. This paper focuses on broadcast signals in a single frequency network modulated according to the digital audio/video broadcasting (DAB/DVB) standards. The main challenge...

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Veröffentlicht in:IEEE access Jg. 7; S. 49316 - 49326
Hauptverfasser: Li, Xiaohua, Zhao, Chenxu, Lu, Xiaofeng, Wei, Wei
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Ambiguity
Cartesian coordinates
Clutter
data association
deterministic annealing
Extended Kalman filter
Hypotheses
Illuminators
Multiple target tracking
Multistatic passive radar
Passive radar
probabilistic multi-hypothesis tracker
Radar equipment
Radar tracking
Receivers
Target tracking
Television stations
Time measurement
ISSN:2169-3536, 2169-3536
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Zusammenfassung:Multistatic passive radar exploits illuminators of opportunity such as radio or television stations for tracking airborne targets. This paper focuses on broadcast signals in a single frequency network modulated according to the digital audio/video broadcasting (DAB/DVB) standards. The main challenge is that one has to solve the measurement-to-illuminator association ambiguity in addition to the conventional measurement-to-target association ambiguity, which increases data association complexity greatly. In this paper, to solve the additional measurement-to-illuminator data association ambiguity, a novel deterministic annealing probabilistic multi-hypothesis tracker based on the extended Kalman filter is proposed. The proposed algorithm works directly in the original three-dimensional Cartesian space, and can efficiently handle a large number of association hypotheses among the targets, measurements, and illuminators in a natural way, also it is computationally attractive. As the angular measurement is not available or often of extremely poor quality, this paper assumes measurements of bistatic range and range rate and does not process bearing information. The simulation results show that the proposed algorithm works reasonably well in dense clutter environment for multistatic passive radar system.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2907789