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| A Probability Hypothesis Density Filter and Data Association Based Algorithm for Multitarget Tracking with Pulse Doppler Radar |
| Tan Shun-cheng① Wang Guo-hong① Wang Na② He You① |
①(Institute of Information Fusion Technology, Naval Aeronautical and Astronautical University, Yantai 264001, China)
②(Unit 92941, 93 Element, Huludao 125001, China) |
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Abstract To solve the problem of multitarget tracking with the Pulse Doppler (PD) radar in clutters, a novel method based on Probability Hypothesis Density Filter (PHDF) and Data Association (DA) for joint range ambiguity resolving and multitarget tracking with range ambiguity is proposed. The method sets the radar work with a set of Pulse Repetition Frequencies (PRFs) alternately, and obtains the extended measurements set by making multiple hypotheses with the ambiguous measurement generated by the radar. Then, filters with extended measurement set with the PHDF by making full use of the advantages of which that it can eliminate clutters effectively and avoid the association between target and measurement. Finally it implements a “track-estimate” data association with the outputs of the PHDF and provides target tracks. Simulation results demonstrate that the proposed method can estimate the number of target as well as individual target state, and succeeds in multitarget tracking with range ambiguity in clutters.
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Received: 22 January 2013
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Corresponding Authors:
Tan Shun-cheng
E-mail: tanshuncheng85@gmail.com
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2013, Vol. 35 
