一种M-FSK信号的能量度量Viterbi软译码算法性能分析

董彬虹; 唐鹏; 杜洋; 赵岩

doi:10.11999/JEIT141532

一种M-FSK信号的能量度量Viterbi软译码算法性能分析

doi: 10.11999/JEIT141532

基金项目:

国家自然科学基金(61201126)，新世纪优秀人才支持计划(NCET- 11-0058)和四川省青年科技基金(2012JQ0020)

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出版历程
- 收稿日期: 2014-12-02
- 修回日期: 2015-03-03
- 刊出日期: 2015-08-19

Performance Analysis of Energy Metrics for Viterbi Soft Decoding Algorithm Based on M-FSK Signal

摘要

摘要: Viterbi译码算法广泛应用于无线数字通信系统，一般采用比特对数似然信息(LLR)作为译码器的输入。针对M-FSK信号，该文提出一种采用信号解调得到的M维能量信息，直接作为译码器分支度量值，并给出了相应的Viterbi译码算法。在加性高斯白噪声(AWGN)和瑞利(Rayleigh)衰落信道下对所提算法的BER性能进行了理论推导，得到了闭合表达式。通过仿真验证了理论推导的正确性，与常规Viterbi算法相比，所提算法避免了比特LLR和分支度量值的计算，降低了算法复杂度和减少了信息损失，提高了M-FSK信号软解调Viterbi译码算法的BER性能，是一种更适用于工程实现的M-FSK信号的Viterbi译码算法。
- Viterbi译码 /
- 比特对数似然信息 /
- 能量度量 /
- 多元频移键控 /
- 误比特率
Abstract: The Viterbi decoding algorithm is widely used in the wireless digital communication system, generally using the bit Log-Likelihood Ratio (LLR) as its input. For an M-ary Frequency Shift Keying (M-FSK) signal, a corresponding Viterbi decoding algorithm by directly adopting the M-dimensions energy information of the signal demodulation as the decoder branch metrics is proposed. This paper analyzes the theoretical performance of the proposed algorithm in the AWGN and the Rayleigh fading channels, and the upper bound for closed-form expressions of the Bit Error Rate (BER) performance are derived. The validity of the theoretical derivation is demonstrated by the simulations. Compared with the existing Viterbi algorithm, the proposed scheme can avoid the computing of the bit LLR and the branch metric, also it can descend the complex of the algorithm and decrease the loss of the information, improve the BER performance in the presence of Viterbi decoding algorithm which based on the M-FSK signal soft demodulation. Thus, the proposed scheme is a Viterbi decoding algorithm that is more adaptive to the actual project based on the M-FSK signal.
- Viterbi decoding /
- Bit Log-Likelihood Ratio (LLR) /
- Energy metrics /
- M-ary Frequency Shift Keying (M-FSK) /
- Bit Error Rate (BER)

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参考文献(18)

Elias P. Coding for noisy channels[C]. 1955 IRE Convention Record, 1955: 37-47.

Viterbi A J. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm[J]. IEEE Transactions on Information Theory, 1967, 13(2): 260-269.

Kene J D and Kulat K D. WiMAX physical layer optimization by implementing SOVA Decoding algorithm[C]. Proceedings of 2014 International Conference on Circuits, Systems, Communication and Information Technology Applications (CSCITA), Mumbai, India, 2014: 179-183.

Kudeshia A and Jagannatham A K. Optimal viterbi based total variation sequence detection(TVSD) for robust image/video decoding in wireless sensor networks[J]. IEEE Signal Processing Letters, 2014, 21(6): 722-726.

Chen Tao, Chen Bo, Xu Ding-hai, et al.. Channel quality estimation with MMSE filter and Viterbi decoding for airborne communications[C]. Proceedings of 2014 Integrated Communications, Navigation and Surveillance Conference (ICNS), Herndon, USA, 2014: 8-10.

Li Yang, Liu Kui-sheng, Tao Ran, et al.. Adaptive Viterbi- based range-instantaneous doppler algorithm for ISAR imaging ship target at sea[J]. IEEE Journal of Oceanic Engineering, 2014, DOI: 10.1109/JOE.2014.2312237.

黄远达, 熊蔚明, 孙辉先. 采用辅助网格的4D-8PSK-TCM维特比译码[J]. 空间科学学报, 2008, 28(6): 578-583.

Huang Yuan-da, Xiong Wei-ming, and Sun Hui-xian. Auxiliary trellis based Viterbi decoding algorithm research of 4D-8PSK-TCM[J]. Chinese Journal of Space Science, 2008, 28(6): 578-583.

臧国珍, 宋贝, 田冲. 差分协同信号的维特比译码接收[J]. 军事通信技术, 2013, 34(1): 17-20.

Zang Guo-zhen, Song Bei, and Tian Chong. Viterbi decoding for differential cooperative communication[J]. Journal of Miltary Communications Technology, 2013, 34(1): 17-20.

Morishima Y, Oka I, and Ata S. Pulse interference mitigation techniques for QPSK and QAM using Viterbi decoding[C]. Proceedings of 2010 International Symposium on Information Theory and its Applications (ISITA), Taichung, 2010: 639-643.

罗宁. 一种高速数传接收机的高效维特比译码结构设计[J]. 信息通信, 2013(2): 80-81.

Luo Ning. A high efficient viterbi decoding structure in high data rate receiver[J]. Information Communications, 2013(2): 80-81.

Saleh T S, Marslan I, and Ei-Tanany M. Simplified LLR-based Viterbi decoder for convolutional codes in symmetric alpha-stable noise[C]. Proceedings of 2012 25th IEEE Canadian Conference on Electrical Computer Engineering (CCECE), Montreal, Canada, 2012: 1-4.

Hagenauer J and Hoeher P. A Viterbi algorithm with soft-decision outputs and its applications[C]. Proceedings of 1989 IEEE Global Telecommunications Conference and Exhibition Communications Technology for the 1990s and Beyond (GLOBECOM), Dallas, USA, 1989: 1680-1686.

程郁凡, 裴亚丽, 李少谦. 一种4FSK软解调方法[P]. 中国, 200610020632.X, 2009-3-18.

Viterbi A J. An intuitive justification and a simplified implementation of the MAP decoder for convolution code[J]. IEEE Journal on Selected Areas in Communications, 1998, 16(2): 260-264.

Proakis J G and Salehi M. Digital Communications[M]. 5th Edition, New York: McGraw-Hill, 2008: 45-48, 109-110, 491-516.

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