NDLI: A low complexity channel estimation algorithm and architecture design in turbo codes with early termination techniques

Content Provider	IEEE Xplore Digital Library
Author	Tsung-Han Tsai Cheng-Hung Lin
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. Eng., Nat. Central Univ., Chung-li, Taiwan (Tsung-Han Tsai; Cheng-Hung Lin)
Abstract	One requirement of iterative maximum a posteriori probability algorithm (MAP) decoding of turbo codes is the knowledge of the channel SNR. The correction ability of turbo decoding is degraded by the mismatch of channel SNR. In this paper, a low complexity channel estimation algorithm based on early termination techniques, which is used to reduce the number of iterations, is proposed. Both of the hard and soft decisions for early termination techniques are simulated with the SNR mismatch. Our algorithm takes the advantages of reducing the iterations and easy implementation on channel estimation. Only 3 iterations can be achieved compared with the analyzed 20 iterations at 2-dB true SNR. Based on our simulation results, the proposed method can practically estimate the reliable channel SNR to refine the correction performance after several frames, and get 0.1-dB coding gain loses as compared to true channel SNR at BER = 10/sup -5/.
Sponsorship	IEEE Circuits and Syst. Soc. IEEE Commun. Soc. IEEE Signal Processing Soc. IEEE Information Theory Soc. Chinese Inst. of Electron. Nokia Corp., Finland Intel Corp., USA Microsoft Res., Asia Shanghai Jiaotong Univ
Starting Page	213
Ending Page	216
File Size	288129
Page Count	4
File Format	PDF
ISBN	0780379381
DOI	10.1109/CASSET.2004.1322957
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Degradation AWGN channels Error analysis Bit error rate Channel estimation Performance gain Turbo codes Iterative algorithms Iterative decoding
Content Type	Text
Resource Type	Article

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