Title :
Joint MAP Detection for MIMO-OFDM Systems
Author :
Luo, Zhendong ; Yang, Fan ; Huang, Dawei
Author_Institution :
Inst. of Commun. Stand. Res., Beijing
Abstract :
In this paper, a joint maximum a posteriori (MAP) detection algorithm is proposed for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO- OFDM) systems. Without the need of estimating the channel state information (CSI), it can directly compute the a posteriori probability (APP) of the transmitted data and generate the detection results under the MAP criterion by efficient iterative processing. Based on the idea of list sphere decoding, we also present a fast searching algorithm to further reduce its complexity in the cases of large numbers of transmit antennas and high data rates. Computer simulation shows that even without the help of channel estimation, the proposed algorithm with a few iterations can approximately attain the performance of the optimal detector using the perfect CSI.
Keywords :
MIMO communication; OFDM modulation; antenna arrays; channel estimation; iterative methods; maximum likelihood detection; transmitting antennas; MIMO-OFDM systems; a posteriori probability; channel estimation; channel state information; fast searching algorithm; iterative processing; joint MAP detection; joint maximum a posteriori detection algorithm; multiple-input multiple-output system; orthogonal frequency division multiplexing; transmit antennas; Channel estimation; Channel state information; Computer simulation; Detection algorithms; Iterative algorithms; Iterative decoding; MIMO; OFDM; State estimation; Transmitting antennas;
Conference_Titel :
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location :
New Orleans, LO
Print_ISBN :
978-1-4244-2324-8
DOI :
10.1109/GLOCOM.2008.ECP.661