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

摘要：

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.

关键词： Wavelet packets transform BP neural network Direct spread spectrum system Interference suppression Satellite navigation

作者: SHI Yangchun LIU Youbao

作者单位: Xian Microelectronics Technology Institute, China

会议类型: 国际会议

会议名称: 2011 International Conference on Advanced Materials and Engineering Materials(2011先进材料与工程材料国际会议 ICAMEM 2011)

会议地点: 沈阳

会议语种:英文

页码: 1111-1117

在线出版日期: 2011-11-22（万方平台首次上网日期，不代表论文的发表时间）