Title :
Combined multi-stage mmse and ML multiuser detection for underdetermined MIMO systems
Author :
Kai Liu ; Xing, S.S.
Author_Institution :
Key Laboratoty of Specialty Fiber Opt. Access Networks, Shanghai Univ., Shanghai, China
Abstract :
We propose a so-called combined multi-stage minimum mean-square error (MSMMSE-ML MUD) in the underdetermined MIMO systems communicating over Gaussian fading channels. In a MIMO system with M transmitting antennas, after multi-stage MMSE detection is operated for the first (M-T) users, ML detection is executed for the last T users, where the parameter T is adopted to adjust the detection complexity of the last users. Considering an underdetermined MIMO system communicating over Gaussian fading channels, simulation results shows that the proposed method has a higher BER performance than the MSMMSE operated in the system.
Keywords :
Gaussian channels; MIMO communication; error statistics; fading channels; least mean squares methods; maximum likelihood detection; multiuser detection; transmitting antennas; BER; Gaussian fading channel; ML multiuser detection; MSMMSE-ML MUD; maximum likelihood detection; minimum mean-square error; multistage MMSE; transmitting antenna; underdetermined MIMO system; MIMO systems; maximum likelihood; minimum mean-square error; underdetermined;
Conference_Titel :
Wireless Mobile and Computing (CCWMC 2011), IET International Communication Conference on
Conference_Location :
Shanghai
DOI :
10.1049/cp.2011.0837