Title :
Blind detection of high rate orthogonal space-time block codes
Author :
Muhammad, Zia ; Meng, Chen ; Ding, Zhi
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California Davis, Davis, CA
Abstract :
We present a new approach to blind equalization for generalized orthogonal space-time block codes. Our method takes the form of linear programming (LP) and is globally convergent. We exploit the implicit structure of orthogonal space-time block codes to cast the problem as linear programming that can be solved efficiently. Unlike several known methods, the proposed technique is applicable to many full-rate orthogonal space time codes such as the popular Almouti code. Our algorithm allows receiver detection of full diversity codes without channel knowledge with detection performance comparable to the optimum maximum-likelihood (ML) detection.
Keywords :
MIMO communication; blind equalisers; block codes; channel coding; channel estimation; diversity reception; linear programming; orthogonal codes; space-time codes; MIMO; blind detection; blind equalization; channel estimation; diversity codes; generalized orthogonal space-time block code; linear programming; Blind equalizers; Block codes; Channel estimation; Detectors; Fading; Frequency estimation; Linear programming; MIMO; Maximum likelihood estimation; Student members; MIMO; blind equalization; channel estimation; linear programming; space time block codes;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4960191