| New Soft Output Viterbi Algorithm for Mobile Communication System |
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| 作者姓名： | YI Qing-ming SHI Min |
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| 作者单位： | Department of Electronic and Engineering，Jinan University，Guangzhou 510632，CHN |
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| 基金项目： | Guangzhou Science and Technology Project（2004Z3-D0321）; Guangdong Science and Technology Project （200510101013）. |
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| 摘 要： | Soft output Viterbi algorithm(SOVA) is a turbo decoding algorithm that is suitable for hardware implementation. But its performance is not so good as maximum a posterior probability(MAP) algorithm. So it is very important to improve its performance. The non-correlation between minimum and maximum likelihood paths in SOVA is analyzed. The metric difference of both likelihood paths is used as iterative soft information, which is not the same as the traditional SOVA. The performance of the proposed SOVA is demonstrated by the simulations. For 1024-bit frame size and 9 iterations with signal to noise ratio from 1dB to 4dB, the experimental results show that the new SOVA algorithm obtains about more 0.4dB and 0.2dB coding gains more than the traditional SOVA and Bi-SOVA algorithms at bit error rate(BER) of 1×10~ -4 , while the latency is only half of the Bi-direction SOVA decoding.
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| 关 键 词： | SOVA算法 最大似然路径 最小似然路径 编码增益 信噪比 |
| 文章编号： | 1007-0206（2006）04-0228-05 |
| 收稿时间： | 2006-05-16 |
| 修稿时间： | 2006-05-30 |
New Soft Output Viterbi Algorithm for Mobile Communication System |
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| YI Qing-ming,SHI Min.New Soft Output Viterbi Algorithm for Mobile Communication System[J].Semiconductor Photonics and Technology,2006,12(4):228-232. |
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| Authors: | YI Qing-ming SHI Min |
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| Abstract: | Soft output Viterbi algorithm (SOVA) is a turbo decoding algorithm that is suitable for hardware implementation. But its performance is not so good as maximum a posterior probability(MAP) algorithm. So it is very important to improve its performance. The non-correlation between minimum and maximum likelihood paths in SOVA is analyzed. The metric difference of both likelihood paths is used as iterative soft information, which is not the same as the traditional SOVA. The performance of the proposed SOVA is demonstrated by the simulations. For 1 0242bit frame size and 9 iterations with signal to noise ratio from 1 dB to 4 dB, the experimental results show that the new SOVA algorithm obtains about more 0.4 dB and 0.2 dB coding gains more than the traditional SOVA and Bi-SOVA algorithms at bit error rate(BER) of 1×10-4, while the latency is only half of the Bi-direction SOVA decoding. |
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| Keywords: | SOVA algorithm Maximum likelihood path Minimum likelihood path Coding gain |
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