Title :
Turbo equalization with iterative online SNR estimation
Author :
Talakoub, Shahram ; Shahrrava, Behnam
Author_Institution :
Dept. of Electr. & Comput. Eng., Windsor Univ., Ont., Canada
Abstract :
Theoretically, it is necessary to estimate the signal-to-noise ratio (SNR) of the channel when using a maximum a posteriori (MAP) or log-MAP turbo equalizer. In this paper, we study the effect of an SNR mismatch on the bit error rate (BER) performance of log-MAP and max-log-MAP turbo equalizers, and propose an iterative online SNR estimation scheme that effectively estimates the unknown SNR from each block of data. We show that this scheme gives performance very close to that with perfect knowledge of channel SNR for even short block lengths over high-loss channels.
Keywords :
channel estimation; equalisers; error statistics; iterative methods; maximum likelihood estimation; BER; SNR mismatch effects; bit error rate; channel signal-to-noise ratio; high-loss channels; iterative online SNR estimation; max-log-MAP turbo equalizers; maximum a posteriori equalizers; short block lengths; turbo equalization; Binary phase shift keying; Bit error rate; Concatenated codes; Degradation; Equalizers; Frequency; Intersymbol interference; Iterative decoding; Performance gain; Performance loss;
Conference_Titel :
Wireless Communications and Networking Conference, 2005 IEEE
Print_ISBN :
0-7803-8966-2
DOI :
10.1109/WCNC.2005.1424662
