کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
563245 875483 2008 24 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Solving the association problem for a multistatic range-only radar target tracker
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Solving the association problem for a multistatic range-only radar target tracker
چکیده انگلیسی

This paper investigates the data association problem for a multiple target tracker, in dense clutter environment, using multiple bistatic range and range-rate measurements from a number of bistatic radars, composing a multistatic radar. Special emphasis is given to the initialization procedures, where a multiple hypothesis logic is adopted to resolve ‘ghost’-targets, frequently generated by range-only multisensor systems. The contribution of the paper is twofold. First, the development and implementation of the multiple target tracker algorithm is presented, including filtering, association and track management. The proposed algorithm includes: (i) global nearest neighbor (GNN) based on auction algorithm combined with a heuristic multiple hypothesis logic for new track initialization; (ii) interacting multiple model algorithm combined with iterated unscented Kalman filter (IMM-I-UKF); (iii) and a rule-based track management. Second, a set of performance metrics is chosen to evaluate the performance of the algorithm presented. Monte Carlo simulation demonstrates the track accuracy, probability of correct association, robustness and computational complexity for numerous scenarios of multiple targets (crossing track patterns, closely spaced or manoeuvring targets), for different values of clutter density and probability of detection. Finally, comparisons with other widely used methods prove the superiority of the proposed algorithm.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 88, Issue 9, September 2008, Pages 2254–2277
نویسندگان
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