標題: MMSE Channel Factorization for Near Maximum-Likelihood Detection of MIMO Signals
作者: Kuo, Chih-Cheng
Sheen, Wern-Ho
Hsiao, Chang-Lung
電信工程研究所
Institute of Communications Engineering
關鍵字: MIMO;ML detection;channel factorization-aided detectors;minimum mean square error
公開日期: 2008
摘要: This paper investigates channel factorization-aided detection for MIMO (multiple-input, multiple-output) spatial multiplexing signals. In essence, this technique transforms, through channel factorization, the MIMO system into an equivalent one with a better-conditioned channel that is more suitable for low-complexity detection. The detected signal in the transform domain is then transformed back to the original domain and decision is made to the transmitted signal. Channel factorization-aided detector has recently become of great interest for MIMO systems because of its ability to cope with noise enhancement incurred by an ill-conditioned channel. Lattice-reduction-aided detector (LRAD) is such an example, where channel factorization is done with the Lenstra-Lenstra-Lovasz (LLL) or Seysen lattice-basis reduction algorithm. In this paper, a new minimum mean square error (MMSE)-based channel factorization is proposed. By minimizing mean square error in the transform domain, the proposed method can approach nearly to the performance of maximum likelihood detection and outperform the LLL factorization by up to 0.5dB, depending on the types of used low-complexity detectors and/or antennas numbers.
URI: http://hdl.handle.net/11536/32109
ISBN: 978-1-4244-2256-2
期刊: 2008 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS, VOLS 1-6
起始頁: 579
結束頁: 583
顯示於類別:會議論文