DocumentCode :
3597449
Title :
Performance of Alamouti space-time code in time-varying channels with noisy channel estimates
Author :
Jootar, Jittra ; Zeidler, James R. ; Proakis, John G.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
Volume :
1
fYear :
2005
Firstpage :
498
Abstract :
In this paper, we derive the theoretical performance of the Alamouti space-time code in time-varying Rayleigh fading channels with noisy channel estimates. The receiver algorithms presented in this paper are the maximum-likelihood (ML) symbol detector with the linear combining scheme, which was suggested by Alamouti (1998), and the ML space-time decoder. The bit error probability for the linear combining scheme and the sequence error probability for the ML space-time decoder are presented as functions of the pilot filter coefficients, the multipath power profile, the normalized Doppler frequency, the pilot SNR and the data SNR. We also compare the bit error performance of the linear combining scheme with the bit error performance of the system without transmit diversity. The results indicate that the Alamouti space-time code with the linear combining scheme is outperformed by the no transmit diversity system at high Doppler frequency or low pilot SNR.
Keywords :
MIMO systems; Rayleigh channels; channel estimation; diversity reception; error statistics; maximum likelihood decoding; maximum likelihood detection; multipath channels; receiving antennas; space-time codes; time-varying channels; transmitting antennas; Alamouti space-time code; MIMO systems; ML space-time decoder; ML symbol detector; Rayleigh fading channels; bit error probability; data SNR; linear combining scheme; maximum-likelihood symbol detector; multipath power profile; noisy channel estimates; normalized Doppler frequency; performance; pilot SNR; pilot filter coefficients; receiver algorithms; sequence error probability; time-varying channels; transmit diversity; Detectors; Diversity reception; Error probability; Fading; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; Nonlinear filters; Space time codes; Time-varying channels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference, 2005 IEEE
ISSN :
1525-3511
Print_ISBN :
0-7803-8966-2
Type :
conf
DOI :
10.1109/WCNC.2005.1424551
Filename :
1424551
Link To Document :
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