DocumentCode :
2589197
Title :
Reduced Complexity Detection for Ricean MIMO Channels Based on Condition Number Thresholding
Author :
Matthaiou, Michail ; Laurenson, David I. ; Wang, Cheng-Xiang
Author_Institution :
Sch. of Eng. & Electron., Edinburgh Univ., Edinburgh
fYear :
2008
fDate :
6-8 Aug. 2008
Firstpage :
988
Lastpage :
993
Abstract :
In this paper, a novel adaptive detection scheme for the case of multiple-input multiple-output (MIMO) Ricean channels with two transmit and receive antenna elements is presented. Our prime aim is to reduce the extensive complexity of maximum-likelihood (ML) detectors by developing an adaptive scheme which switches between a ML and a much simpler zero-forcing (ZF) detector depending on the instantaneous spatial conditions. The kernel of the adaptive detector (AD) is a hard-decision criterion based on the condition number of the MIMO correlation matrix. It is demonstrated that the proposed scheme offers a remarkable reduction in terms of complexity along with a satisfactory performance when specifically designed antenna arrays are employed.
Keywords :
MIMO communication; Rician channels; antenna arrays; communication complexity; correlation methods; matrix algebra; maximum likelihood detection; multifrequency antennas; receiving antennas; transmitting antennas; MIMO correlation matrix; Ricean MIMO channel; condition number thresholding; hard-decision criterion; maximum-likelihood detection; multiple input multiple output channel; receiving antenna; reduced complexity adaptive detection; transmitting antenna; zero-forcing detector; Decoding; Detectors; Image processing; MIMO; Polynomials; Rayleigh channels; Receiving antennas; Signal processing; Switches; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Mobile Computing Conference, 2008. IWCMC '08. International
Conference_Location :
Crete Island
Print_ISBN :
978-1-4244-2201-2
Electronic_ISBN :
978-1-4244-2202-9
Type :
conf
DOI :
10.1109/IWCMC.2008.171
Filename :
4600070
Link To Document :
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