DocumentCode
2946994
Title
Linear Programming Detection and Decoding for MIMO Systems
Author
Cui, Tao ; Ho, Tracey ; Tellambura, Chintha
Author_Institution
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA
fYear
2006
fDate
9-14 July 2006
Firstpage
1783
Lastpage
1787
Abstract
We develop an efficient linear programming detector (LPD) for multiple-input multiple-output (MIMO) systems. Instead of using the usual l2 norm, our proposed LPD uses the l1 norm as the detection metric, resulting in a mixed-integer linear program (MILP). Two branch-and-bound algorithms are proposed to solve the MILP. The solution of the MILP achieves the same full diversity order as the maximum likelihood detector. The MILP is further relaxed to a linear program (LP), which can be readily solved using the standard simplex method. We show that in some cases the solution of the LP is guaranteed to be that of the MILP. The LPD is also extended to the joint detection and decoding of linear block coded MIMO systems. Our LPD can be immediately implemented using mature circuits design for the simplex algorithm
Keywords
MIMO systems; block codes; linear codes; linear programming; maximum likelihood decoding; maximum likelihood detection; radiocommunication; tree searching; branch-and-bound algorithms; decoding; linear block coded MIMO systems; linear programming detection; maximum likelihood detector; mixed-integer linear program; multiple-input multiple-output systems; simplex method; AWGN; Circuit synthesis; Detectors; Linear programming; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Receiving antennas; Scattering; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2006 IEEE International Symposium on
Conference_Location
Seattle, WA
Print_ISBN
1-4244-0505-X
Electronic_ISBN
1-4244-0504-1
Type
conf
DOI
10.1109/ISIT.2006.261741
Filename
4036274
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