| Related citation: | Jinhai Sun,Jinhai Li,Haiyang Liu,Feng Wang,Yuepeng Yan.Efficient Soft-Decision Maximum-Likelihood Decoding of BCH Code in the GNSS[J].Journal of Harbin Institute Of Technology(New Series),2015,22(1):54-58.DOI:10.11916/j.issn.1005-9113.2015.01.008. |
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| Author Name | Affiliation | | Jinhai Sun | Institute of microelectronics, Chinese Academy of Sciences, Beijing 100029, China | | Jinhai Li | Institute of microelectronics, Chinese Academy of Sciences, Beijing 100029, China | | Haiyang Liu | Institute of microelectronics, Chinese Academy of Sciences, Beijing 100029, China | | Feng Wang | Institute of microelectronics, Chinese Academy of Sciences, Beijing 100029, China | | Yuepeng Yan | Institute of microelectronics, Chinese Academy of Sciences, Beijing 100029, China |
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| Abstract: |
| Soft-decision decoding of BCH code in the global navigation satellite system (GNSS) is investigated in order to improve the performance of traditional hard-decision decoding. Using the nice structural properties of BCH code, a soft-decision decoding scheme is proposed. It is theoretically shown that the proposed scheme exactly performs maximum-likelihood (ML) decoding, which means the decoding performance is optimal. Moreover, an efficient implementation method of the proposed scheme is designed based on Viterbi algorithm. Simulation results show that the performance of the proposed soft-decision ML decoding scheme is significantly improved compared with the traditional hard-decision decoding method at the expense of moderate complexity increase. |
| Key words: GNSS BCH codes soft-decision decoding maximum-likelihood (ML) decoding Viterbi algorithm |
| DOI：10.11916/j.issn.1005-9113.2015.01.008 |
| Clc Number:TP391.7 |
| Fund: |
