Turbo equalization with iterative online SNR estimation

Author

Talakoub, Shahram ; Shahrrava, Behnam

Author_Institution

Dept. of Electr. & Comput. Eng., Windsor Univ., Ont., Canada

Volume

2

fYear

2005

fDate

13-17 March 2005

Firstpage

1097

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;

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.2005.1424662

Filename

1424662