Affiliation:
1. School of Electronic and Information Engineering, Shenyang Aerospace University, Shenyang 110136, China
2. Liaoning Provincial Aerospace Information Perception and Intelligent Processing Key Laboratory, Shenyang 110136, China
Abstract
Contrasting the dilemma that the traditional time-domain least mean square (LMS) algorithm in the existing satellite navigation receiver anti-interference system cannot satisfy the convergence time is short and maintain a low level of steady-state error at the same time, an inverse cosine variable step size LMS algorithm (ICVS-LMS) is proposed. To begin with, the LMS algorithm, with a fixed step size focuses on its effectiveness in attenuating and suppressing interference signals, is analyzed, and then the proposed ICVS-LMS algorithm is analyzed. In conclusion, both the ICVS-LMS algorithm and the traditional algorithm are simulated and compared in terms of their effectiveness in suppressing interference in satellite navigation signals. The experimental results demonstrate that the improved algorithm significantly reduces convergence time while maintaining a small steady-state error. The improved algorithm demonstrates high robustness and an obvious suppression effect on interference signals. The anti-interference performance is 8.41–12.22% higher than that of the proposed algorithm.
Funder
National Natural Science Foundation of China
SongShan Laboratory Foundation
Open Fund of State Key Laboratory of Satellite Navigation System and Equipment Technology
Open Fund of Key Laboratory of Civil Aviation Flights Wide Area Surveillance and Safety Control Technology, Civil Aviation University of China
Liaoning Provincial Department of Education Project
Applied Basic Research Programs of Liaoning Province
Open Fund of Key Laboratory of Flight Techniques and Flight Safety CAAC
Special Funds Program of Shenyang Science and Technology
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering