J4 ›› 2011, Vol. 38 ›› Issue (3): 114-120.doi: 10.3969/j.issn.1001-2400.2011.03.018

• 研究论文 • 上一篇    下一篇



  1. (1. 西安电子科技大学 雷达信号处理国家重点实验室,陕西 西安  710071;
    2. 西安文理学院 数学系,陕西 西安  710065|
    3. 西安邮电学院 通信工程系,陕西 西安  710121)
  • 收稿日期:2010-06-10 出版日期:2011-06-20 发布日期:2011-07-14
  • 通讯作者: 王纯
  • 作者简介:王纯(1983-),女,西安电子科技大学博士研究生,E-mail: wangchun01@126.com.
  • 基金资助:


Fast adaptive interference suppression method in the GPS receiver

WANG Chun1;ZHANG Linrang1;CHEN Guangfeng 1,2;HUANG Qingdong 1,3;LIU Gaogao 1

  1. (1. National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an   710071, China|
    2. Dept. of Mathematics, Xi'an Univ. of Arts and Science, Xi'an   710065, China|
    3. Dept. of Communication Eng., Xi'an Univ. of Post & Telecommunication, Xi'an   710121, China)
  • Received:2010-06-10 Online:2011-06-20 Published:2011-07-14
  • Contact: WANG Chun



关键词: GPS接收机, Householder变换, 广义旁瓣相消, 最小均方误差算法


The adaptive Generalized Sidelobe Canceller(GSC) always employs the least-mean-square(LMS) algorithm for weight adaptation. In the GPS receiver, real adaptive interference suppression can not be satisfied by this algorithm because of its slow convergence rate, especially at the very low signal-to-noise ratio(SNR). Since the convergence behavior of the LMS algorithm is highly dependent on the eigenvalue spreads of the covariance matrix of the blocking matrix output, we present a novel Householder-based fast adaptive interference suppression approach. Householder transformation can be employed for the design of the blocking matrix of the GSC, which will block not only the desired signal but also accelerate the convergence rate of the LMS algorithm. Therefore, it can also maximize the output SINR and significantly improve the performance of the anti-jammer GPS receiver. Theoretical analysis and simulation results demonstrate the superiority of the proposed structure.

Key words: GPS receiver, householder transformation, generalized sidelobe canceller(GSC), least-mean-square(LMS) algorithm


  • TN965