Information identification algorithm for satellite navigation under hostile interference
Yangchun Shi, Jing Wang · 2011
An information identification algorithm (IIA) for satellite navigation system was proposed in this paper. It uses the fuzzy step size least-mean-square (FLMS) adaptive filter and power distributing predominance wavelet packets transform (PDP-WPT) to eliminate the hostile interference in the process of information identification. Compared with the conventional LMS algorithm, the FLMS performs high convergence rate and low steady-state fluctuation error. PDP-WPT was presented to track the interference effectively, which improves the convergence rate of information identification. Simulations were conducted to evaluate the convergence rate and identification capability of the proposed algorithm.