A low complexity algorithm and architecture design for channel estimation in turbo codes

Author

Tsai, Tsung-Han ; Lin, Cheng-Hung ; Lin, Shin-Yo

Author_Institution

Dept. of Electr. Eng., Nat. Central Univ., Chung-Li, Taiwan

Volume

3

fYear

2003

fDate

27-30 Dec. 2003

Firstpage

1202

Abstract

The iterative maximum a posteriori (MAP) probability algorithm decoding of turbo codes requires knowledge of the channel signal-to-noise ratio (SNR). The mismatch of channel SNR degrades the correction ability of the turbo decoding. In this paper, a low complexity channel estimation, which combines the hard decision rules of the early termination techniques, is proposed. Our algorithm takes the advantage of reducing the iterations, and easy implementation on channel estimation. Based on our simulation results, the proposed method can practically estimate the reliable channel SNR to refine the correction performance after several frames.

Keywords

channel estimation; communication complexity; iterative decoding; maximum likelihood estimation; turbo codes; channel estimation; channel signal-to-noise ratio; iterative decoding; low complexity algorithm; maximum a posteriori probability algorithm; turbo codes; turbo decoding; Algorithm design and analysis; Bit error rate; Channel coding; Channel estimation; Degradation; Iterative algorithms; Iterative decoding; Mobile communication; Signal to noise ratio; Turbo codes;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2003 IEEE 46th Midwest Symposium on

ISSN

1548-3746

Print_ISBN

0-7803-8294-3

Type

conf

DOI

10.1109/MWSCAS.2003.1562509

Filename

1562509