Adaptive two-stage GSC-based PIC detection for time-varying MIMO channels

Yinman Lee*, Wen-Rong Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Adaptive parallel interference cancellation (PIC) has been recently proposed for the signal detection in multiple- input multiple-output (MIMO) systems. However, it suffers from error propagation when operated in time-varying channels. In this letter, an adaptive two-stage PIC with the minimum variance (MV) criterion is proposed to solve the problem. Adaptation with the MV criterion is realized with a decision feedback generalized sidelobe canceller (DFGSC). In the first-stage cancellation, a special structure involving dual DFGSCs is developed. All adaptation operations are implemented with the least-mean-square (LMS) algorithm. Simulations show that the proposed adaptive PIC detection can significantly outperform the conventional adaptive PIC detection in time-varying MIMO channel environments.

Original languageEnglish
Article number4489730
Pages (from-to)1105-1110
Number of pages6
JournalIEEE Transactions on Wireless Communications
Issue number4
StatePublished - 1 Apr 2008


  • Generalized sidelobe canceller (GSC)
  • Least-mean-square (LMS) algorithm
  • Multiple-input multiple-output (MIMO)
  • Parallel interference cancellation (PIC)

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