Title :
Efficient Blind Receiver Design for Orthogonal Space-Time Block Codes
Author :
Cui, Tao ; Tellambura, Chintha
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA
fDate :
5/1/2007 12:00:00 AM
Abstract :
We consider stochastic blind maximum-likelihood detection of orthogonal space-time block codes (OSTBCs) over a quasi-static flat multiple-input multiple-output (MIMO) Rayleigh fading channel. A general decision rule for stochastic blind maximum-likelihood OSTBC detection is derived. This rule is simplified using OSTBC linear dispersion matrices to realize a blind detector, which is implemented by semi-definite relaxation or sphere decoding. For the latter, the modifications necessary for both unitary and non-unitary constellations are developed. Two totally blind detectors using dual constellations or a superimposed training scheme are proposed. As a side product, two conditions for a rotatable OSTBC are also derived. A decision-directed, minimum mean-square-error (MMSE) channel estimator is developed. We also derive the Cramer-Rao bound (CRB) for channel estimation and discuss the optimal power allocation. Extensive simulation results are used to compare the different detectors in terms of complexity and performance
Keywords :
MIMO communication; Rayleigh channels; block codes; channel coding; channel estimation; decoding; least mean squares methods; matrix algebra; maximum likelihood detection; radio receivers; space-time codes; stochastic processes; CRB; Cramer-Rao bound; MIMO; MMSE; OSTBC; OSTBC linear dispersion matrices; Rayleigh fading channel; blind receiver design; channel estimator; minimum mean-square-error; multiple-input multiple-output channel; optimal power allocation; orthogonal space-time block codes; quasi-static flat channel; semi-definite relaxation; sphere decoding; stochastic blind maximum-likelihood detection; Binary phase shift keying; Block codes; Channel estimation; Decoding; Detectors; Fading; MIMO; Maximum likelihood detection; Maximum likelihood estimation; Stochastic processes;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2007.360390