Title :
Joint multipath data association and fusion for OTHR
Author :
Hua Lan ; Quan Pan ; Feng Yang ; Yan Liang
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
Abstract :
Motivated by target tracking of OTHR inevitably facing the problem of multiple propagation modes, we present the problem of joint multipath data association and fusion (JMAF). Based on the expectation-maximum criterion and joint optimization, we derive the iterative optimization scheme of multipath data association and track fusion. A performance comparison of multipath probability data association (MPDA) is presented and discussed for a simple target tracking scenario, and the simulation results show that JMAF is superior to MPDA.
Keywords :
expectation-maximisation algorithm; iterative methods; optimisation; radar signal processing; radar tracking; sensor fusion; OTHR; expectation-maximum criterion; iterative optimization scheme; joint multipath data association and fusion; joint optimization; multiple propagation modes; sky-wave over-the-horizon radar; target tracking; Density measurement; Hidden Markov models; Joints; Radar tracking; Target tracking; Time measurement; Joint Multipath Data Association and Fusion; Sky-wave Over-The-Horizon Radar; Target Tracking;
Conference_Titel :
Information Fusion (FUSION), 2013 16th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-605-86311-1-3
