IEICE TRANSACTIONS on Communications
On Optimal Stepsize for Soft Decision Viterbi Decoding
Summary :
This letter presents a method of finding the optimal quantization stepsize that minimizes quantization loss and maximizes coded BER performance. We define 'Information Error Rate'(IER) and obtain the equation of the modified constraint length (Km) to obtain an upper bound of coded BER performance of a l bit quantized soft decision Viterbi decoder. Using IER and Km, we determine the optimal quantization stepsize of a 2 bit and 3 bit quantized soft decision decoding system in an AWGN channl with respect to SNR, and verify our strategies by simulation results.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E88-B No.12 pp.4651-4654
- Publication Date
- 2005/12/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietcom/e88-b.12.4651
- Type of Manuscript
- LETTER
- Category
- Fundamental Theories for Communications
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Eui-Cheol LIM, Hyung-Jin CHOI, "On Optimal Stepsize for Soft Decision Viterbi Decoding" in IEICE TRANSACTIONS on Communications,
vol. E88-B, no. 12, pp. 4651-4654, December 2005, doi: 10.1093/ietcom/e88-b.12.4651.
Abstract: This letter presents a method of finding the optimal quantization stepsize that minimizes quantization loss and maximizes coded BER performance. We define 'Information Error Rate'(IER) and obtain the equation of the modified constraint length (Km) to obtain an upper bound of coded BER performance of a l bit quantized soft decision Viterbi decoder. Using IER and Km, we determine the optimal quantization stepsize of a 2 bit and 3 bit quantized soft decision decoding system in an AWGN channl with respect to SNR, and verify our strategies by simulation results.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.12.4651/_p
Copy
@ARTICLE{e88-b_12_4651,
author={Eui-Cheol LIM, Hyung-Jin CHOI, },
journal={IEICE TRANSACTIONS on Communications},
title={On Optimal Stepsize for Soft Decision Viterbi Decoding},
year={2005},
volume={E88-B},
number={12},
pages={4651-4654},
abstract={This letter presents a method of finding the optimal quantization stepsize that minimizes quantization loss and maximizes coded BER performance. We define 'Information Error Rate'(IER) and obtain the equation of the modified constraint length (Km) to obtain an upper bound of coded BER performance of a l bit quantized soft decision Viterbi decoder. Using IER and Km, we determine the optimal quantization stepsize of a 2 bit and 3 bit quantized soft decision decoding system in an AWGN channl with respect to SNR, and verify our strategies by simulation results.},
keywords={},
doi={10.1093/ietcom/e88-b.12.4651},
ISSN={},
month={December},}
Copy
TY - JOUR
TI - On Optimal Stepsize for Soft Decision Viterbi Decoding
T2 - IEICE TRANSACTIONS on Communications
SP - 4651
EP - 4654
AU - Eui-Cheol LIM
AU - Hyung-Jin CHOI
PY - 2005
DO - 10.1093/ietcom/e88-b.12.4651
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2005
AB - This letter presents a method of finding the optimal quantization stepsize that minimizes quantization loss and maximizes coded BER performance. We define 'Information Error Rate'(IER) and obtain the equation of the modified constraint length (Km) to obtain an upper bound of coded BER performance of a l bit quantized soft decision Viterbi decoder. Using IER and Km, we determine the optimal quantization stepsize of a 2 bit and 3 bit quantized soft decision decoding system in an AWGN channl with respect to SNR, and verify our strategies by simulation results.
ER -
English
