DocumentCode
2656121
Title
Efficient Optimal Ordering Achieving DFE Algorithms in MIMO Systems
Author
Jiang, Wenjie ; Asai, Yusuke ; Aikawa, Satoru
Author_Institution
NTT Access Network Service Syst. Lab., NTT Corp., Kanagawa
fYear
2007
fDate
22-25 April 2007
Firstpage
2083
Lastpage
2088
Abstract
Recent theoretical and experimental studies indicate that spatial multiplexing (SM) systems have enormous potential for increasing the capacity of corresponding multiple input multiple output (MIMO) channels in rich scattering environments. In this paper, we describe two fast detection algorithms for the standard BLAST receiver. The first algorithm covers the nulling and cancellation (NC) detection interface that applies inflation and deflation recursion to the initialization and iteration stages, respectively. The second algorithm utilizes the QR decomposition (QRD) detection interface that reuses Cholesky decomposition and back substitution, leading to an alternative low complexity detector. Compared with the conventional fastest method, our new algorithms reduce the complexity of the preprocessing by a factor of about 2. Furthermore, they are also implementation friendly by avoiding the recursive permutation and permitting the function reuse.
Keywords
MIMO communication; decision feedback equalisers; demodulation; iterative methods; multiplexing; wireless channels; BLAST receiver; Cholesky decomposition; MIMO systems; QR decomposition detection interface; fast detection algorithms; multiple input multiple output channels; nulling and cancellation detection interface; optimal ordering achieving DFE algorithms; spatial multiplexing systems; Decision feedback equalizers; Detection algorithms; Detectors; Electronic mail; MIMO; Mean square error methods; Receiving antennas; Samarium; Scattering; Signal detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2007. VTC2007-Spring. IEEE 65th
Conference_Location
Dublin
ISSN
1550-2252
Print_ISBN
1-4244-0266-2
Type
conf
DOI
10.1109/VETECS.2007.431
Filename
4212859
Link To Document