Passive tracking based on three-arrays fusion and particle fitler
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Abstract
Aiming at the application of multi-target passive tracking, a new multi -target passive tracking method based on three array fusion and particle fitler was proposed. Firstly, the “fake points” could be almost entirely and exactly deleted with the aids of the three-array at the expense of an additional array. Secondly, considered the fact that the measurements gotten from each array were independent in passive tracking system, a novel sequential particle filter with improved distribution was proposed, and the influence of non-linear and non-Gauss could be eliminated by the presented method. The relative performances, as measurement by track lifetime, position tracking error and RMS tracking error are compared with the classical methods. The results show that there is significant improvement in tracking capability over MHEKF and IMM-PD methods.
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