Title :
Iterative MIMO Detection for Rank-Deficient Systems
Author :
Wolfgang, A. ; Akhtman, J. ; Chen, S. ; Hanzo, L.
Author_Institution :
Sch. of Electron. & Comput. Sci., Southampton Univ.
Abstract :
In this letter, a novel iterative multiple-input multiple-output (MIM)O detector reminiscent of sphere decoding (SD) is presented. Its main benefit is that in contrast to other soft-input soft-output (SISO) SD algorithms presented in the literature, the proposed iterative detector is capable of performing well in so-called overloaded systems, where the number of transmit antennas is significantly higher than the number of receive antennas, and hence, the channel´s covariance matrix is rank-deficient. Furthermore, the proposed detector is guaranteed to achieve the performance of the max-log detector without the necessity of choosing a specific SD radius or an SD candidate list for generating soft-outputs. For example, when receiving signals from four transmit antennas with the aid of only two receive antennas, the proposed detector is capable of approaching the channel capacity limit within about 2 dBs
Keywords :
MIMO systems; antenna arrays; channel capacity; covariance matrices; iterative decoding; receiving antennas; signal detection; transmitting antennas; channel capacity; covariance matrix; iterative MIMO detection; max-log detector; multiple-input multiple-output system; rank-deficient system; receive antenna; sphere decoding; transmit antenna; Antenna arrays; Covariance matrix; Detectors; Iterative algorithms; Iterative decoding; MIMO; Receiving antennas; Signal processing algorithms; Transmitters; Transmitting antennas; Iterative detection; multiple-input multiple-output (MIMO); sphere decoding (SD);
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2006.879453