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Adaptive Two-Stage GSC-Based PIC Detection for Time-Varying MIMO Channels

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2 Author(s)
Yinman Lee ; Nat. Chi Nan Univ., Puli ; Wen-Rong Wu

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.

Published in:

IEEE Transactions on Wireless Communications  (Volume:7 ,  Issue: 4 )