Application of adaptive line enhancer based on FTF algorithmto Loran-C signal processing

TIAN Wei1,2,3, HUA Yu1,2, GAO Yuan-yuan1,2

(1. National Time Service Center, Chinese Academy of Sciences, Xi’an 710600, China;

2. Key Laboratory of Precision Navigation and Timing Technology, National Time Service Center,

Chinese Academy of Sciences, Xi’an 710600, China;

3. Graduate University of Chinese Academy of Sciences, Beijing 100039, China)

Abstract: Because of the slow convergence rate of the adaptive line enhancer based on the LMS (least mean square) algorithm, the adaptive line enhancer based on the FTF(fast transversal filter) algorithm are used in the Loran-C signal processing to filter the random noise. The result of the simulation shows that the adaptive line enhancer based on the FTF algorithm has the advantages of quick convergence and less mean square error, and could get over the shortcomings of LMS algorithm. It’s feasible to use the adaptive line enhancer based on the LMS algorithm for filtering the random noise in Loran-C signal.

Keywords: Loran-C; adaptive line enhancer(ALE); FTF algorithm; LMS algorithm