OTHR multitarget tracking with a GMRF model of ionospheric parameters

The ionosphere is the propagation medium for radio waves transmitted by an over-the-horizon radar (OTHR). Ionospheric parameters, typically, virtual ionospheric heights (VIHs), are required to perform coordinate registration OTHR multitarget tracking and localization. inaccuracy of parameters has a significant deleterious effect on target localization OTHR. Therefore, improve accuracy OTHR, it important develop accurate models estimation methods corresponding algorithms. In this paper, we consider variation with location spatial correlation ionosphere. We use Gaussian Markov random field (GMRF) model VIHs, providing more representation VIHs tracking. Based expectation-conditional maximization GMRF modeling propose novel joint optimization solution, namely ECM-GMRF, state estimation, multipath data association simultaneously. measurements from both ionosondes exploited estimate leading better which improves vice versa. simulation indicates effectiveness proposed algorithm.