Interference Suppression for Satellite Navigation Based on Neural Network and Wavelet Packets Transform

Abstract:

To suppress the interference in the direct sequence spread spectrum (DSSS) system, a transform domain message data adaptive identify (TISI) algorithm is proposed in this paper, based on two improved algorithms: Power distributing predominance wavelet packets transform (PDP-WPT) and extended BP neural network (EBPNN). Firstly, PDP-WPT is presented to track the interference signal effectively, which improves the convergence rate of TISI. Secondly, the message data can be identified in transform domain by adaptability EBPNN, which has simple structure and enhanced numerical robustness. Simulation results show that TISI can improve the capability of interference suppression by 32% compared with widely used conventional algorithms.

• Periodical: Advanced Materials Research (Volumes 457-458)
• Pages: 1111-1117
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.457-458.1111
• Online since: January 2012
• Authors: Yang Chun Shi, You Bao Liu
• Keywords: BP Neural Network (BPNN), Direct Spread Spectrum System, Interference Suppression, Satellite Navigation, Wavelet Packet Transform

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