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  1. (1. 西安电子科技大学 综合业务网与关键技术国家重点实验室,陕西 西安 710071;
    2. 西安电子科技大学 研究生院,陕西 西安 710071)

  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2005-10-20 发布日期:2005-10-20

Adaptive interference rejection technique based on wavelet packet transform in DSSS systems

WANG Xi-xi1;ZENG Xing-wen2


  1. (1. State Key Lab of Integrated Service Networks, Xidian Univ., Xi′an 710071, China;
    2. School of Graduate, Xidian Univ., Xi′an 710071, China)
  • Received:1900-01-01 Revised:1900-01-01 Online:2005-10-20 Published:2005-10-20

摘要: 研究了用离散小波包变换实现直扩通信系统中输入信号的分解,分析了小波包变换抵消窄带干扰的机理,对原有算法进行了优化并提出了相应的自适应去干扰算法.采用自适应滤波技术取代子带剔除法,自适应地跟踪窄带干扰,改善了有用信号的丢弃情况,有效地抑制了窄带干扰.分析和仿真结果表明,基于树结构算法的自适应小波包干扰抑制方法比传统的子带剔除法在性能上更为优越,干扰定位速度也较快.

关键词: 离散小波包变换, 直扩通信系统, 自适应滤波, 子带剔除

Abstract: The decomposition of the received signal realized by discrete wavelet packet transformation in DSSS systems is studied. The performance evaluation of the excision techniques via DWT is presented. The optimal adaptive NBI rejection arithmetic is also proposed. Using the adaptive filter instead of sub-band excision, which suppresses NBI efficiently and impoves loss of the avail signal. Analyzed and simulated results show that the interference suppression method of adaptive wavelet packet decomposition based on the TSA algorithm will obtain better performance than that of conventional sub-band elimination. Additionally, the orientation speed of the adaptive algorithm can be increased.

Key words: discrete wavelet packet transformation, DSSS, adaptive filter, sub-band excision


  • TN914.42