An adaptive non‐linear estimate for radar target tracking
Chun‐Hui Hsiao, Kai-Chih Chuang · International Journal of Adaptive Control and Signal Processing · 1990
Abstract The detection of targets with a radar system is inherently a non‐linear stochastic process. Thus the application of non‐linear estimation becomes inevitable. A review of four approaches—the extended Kalman filter (EKF), the Gaussian second‐order filter (GSF), the iterative filter (IF) and the adaptive filter (AF)—is given in this paper. The superiority of AF in tracking manoeuvring targets is quite clear in comparison with the other filters.