Title :
Efficient detection of space time block codes in time-selective channels via Adaptive Sphere Decoder
Author :
Kashif, R. ; Safwat, I. ; Khan, A.A.
Author_Institution :
Electr. Eng. Dept., Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
Abstract :
In this paper we consider symbol detection in Alamouti´s space-time block coding (STBC) scheme by using adaptive sphere decoder (ASD) which carries out adaptive radius search over time-selective fading channels. Once the channel is time-varying in nature, the channel co-efficients vary from one signaling interval to another, a conventional maximum likelihood (ML) detector carries out exhaustive search and thus becomes computationally expensive specially for higher modulation schemes in a multi-antenna system. Use of SD in time-selective fading channel results in optimal performance with moderate computational complexity. We evaluate the bit-error rate (BER) performance of ASD as compared to the exhaustive search ML detector as well as the generalized simplified ML (GSML) detector, proposed by Tran et al. over time-varying channels. Simulation results suggest that the use of ASD algorithm based on Fincke and Pohst method improves system performance but at expense of marginal computational complexity.
Keywords :
adaptive codes; antennas; block codes; communication complexity; error statistics; fading channels; maximum likelihood decoding; modulation; space-time codes; ASD algorithm; GSML detector; adaptive sphere decoder; bit error rate; channel coefficients; computational complexity; generalized simplified ML; maximum likelihood detector; modulation; multiantenna system; signaling interval; space time block code; symbol detection; time-selective fading channel; Bit error rate; Block codes; Computational complexity; Detectors; Fading; Maximum likelihood decoding; Maximum likelihood detection; Time varying systems; Time-varying channels; Variable speed drives;
Conference_Titel :
Emerging Technologies, 2009. ICET 2009. International Conference on
Conference_Location :
Islamabad
Print_ISBN :
978-1-4244-5630-7
Electronic_ISBN :
978-1-4244-5631-4
DOI :
10.1109/ICET.2009.5353155