Interference Suppression Based on Wavelet Packets Transform and BP Neural Network for DSSS

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 conventional algorithms.

关键词： wavelet packets transform BP neural network direct spread spectrum system interference suppression

作者: SHI Yangchun WANG Li LIU Youbao

作者单位: Lab. of SoCXian Microelectronics Technology InstituteXi’an, China Lab. of SoC Xian Microelectronics Technology Institute Xi’an, China

会议类型: 国际会议

会议名称: 2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 196-200

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）