Title :
A Novel Adaptive Detection Algorithm Jointly Utilizing Channel Estimation for MIMO System in Continuous Flat Fading Channels
Author :
Yang Gao ; Hongming Zheng ; Feng Zhou ; Yongkang Gao ; Xiaoyun Wu
Author_Institution :
CTL, Beijing
Abstract :
The Vertical Bell Laboratories Layered Space-Time (V-BLAST) system can provide high capacity over rich scattering channel. The conventional minimum mean square error (MMSE) detection for V-BLAST is not suitable for time-varying channel due to high complexity. In the paper, we proposed an adaptive detection algorithm, which combines maximum likelihood (ML) channel estimator and least mean squares (LMS) algorithm together. The proposed adaptive methodology can also be used in the base station (BS) of the MIMO-MU system, where the V-BLAST adaptive receiver and the transmitting preprocessing technique are jointly designed in BS with MIMO-MU detection over time-varying channels. From the simulations, we can see the proposed detection method can outperform the conventional MMSE detection with lower complexity.
Keywords :
MIMO communication; channel estimation; fading channels; least mean squares methods; maximum likelihood estimation; time-varying channels; MIMO system; MMSE detection; Vertical Bell Laboratories Layered Space-Time system; adaptive detection algorithm; adaptive methodology; adaptive receiver; base station; channel scattering; continuous flat fading channel; least mean squares algorithm; maximum likelihood channel estimator; minimum mean square error; preprocessing technique; time-varying channel; Channel estimation; Detection algorithms; Fading; Least squares approximation; MIMO; Maximum likelihood detection; Maximum likelihood estimation; Mean square error methods; Scattering; Time-varying channels;
Conference_Titel :
Circuits and Systems for Communications, 2008. ICCSC 2008. 4th IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1707-0
Electronic_ISBN :
978-1-4244-1708-7
DOI :
10.1109/ICCSC.2008.100
