Cardinality balanced multitarget multi-Bernoulli filter for multipath multitarget tracking in over-the-horizon radar

摘要

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.