An LMS-based adaptive generalized sidelobe canceller with decision feedback

Yinman Lee*, Wen-Rong Wu

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations


Conventional least-mean-square (LMS) based adaptive generalized sidelobe canceller (GSC) suffers from the slow convergence problem. When the environment is fast varying, the conventional GSC cannot perform satisfactorily. In this paper, we propose a new decision feedback (DF) technique to overcome this problem. The proposed algorithm introduces a feedback filter with one tap weight in the GSC structure. The Wiener solution for the proposed structure is derived and the convergence behavior of the adaptive DF-GSC is also analyzed. Simulation results show that the proposed structure can significantly accelerate the convergence and enhance the overall performance.

Original languageEnglish
Pages (from-to)2047-2051
Number of pages5
JournalIEEE International Conference on Communications
StatePublished - 12 Sep 2005
Event2005 IEEE International Conference on Communications, ICC 2005 - Seoul, Korea, Republic of
Duration: 16 May 200520 May 2005


  • Adaptive beamforming
  • Decision feedback
  • Generalized sidelobe canceller
  • Least-mean-square

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