一種M-FSK信號(hào)的能量度量Viterbi軟譯碼算法性能分析
doi: 10.11999/JEIT141532
基金項(xiàng)目:
國(guó)家自然科學(xué)基金(61201126)，新世紀(jì)優(yōu)秀人才支持計(jì)劃(NCET- 11-0058)和四川省青年科技基金(2012JQ0020)
Performance Analysis of Energy Metrics for Viterbi Soft Decoding Algorithm Based on M-FSK Signal
-
摘要: Viterbi譯碼算法廣泛應(yīng)用于無(wú)線數(shù)字通信系統(tǒng)，一般采用比特對(duì)數(shù)似然信息(LLR)作為譯碼器的輸入。針對(duì)M-FSK信號(hào)，該文提出一種采用信號(hào)解調(diào)得到的M維能量信息，直接作為譯碼器分支度量值，并給出了相應(yīng)的Viterbi譯碼算法。在加性高斯白噪聲(AWGN)和瑞利(Rayleigh)衰落信道下對(duì)所提算法的BER性能進(jìn)行了理論推導(dǎo)，得到了閉合表達(dá)式。通過(guò)仿真驗(yàn)證了理論推導(dǎo)的正確性，與常規(guī)Viterbi算法相比，所提算法避免了比特LLR和分支度量值的計(jì)算，降低了算法復(fù)雜度和減少了信息損失，提高了M-FSK信號(hào)軟解調(diào)Viterbi譯碼算法的BER性能，是一種更適用于工程實(shí)現(xiàn)的M-FSK信號(hào)的Viterbi譯碼算法。
-
關(guān)鍵詞:
- Viterbi譯碼 /
- 比特對(duì)數(shù)似然信息 /
- 能量度量 /
- 多元頻移鍵控 /
- 誤比特率
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. -
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. 黃遠(yuǎn)達(dá), 熊蔚明, 孫輝先. 采用輔助網(wǎng)格的4D-8PSK-TCM維特比譯碼[J]. 空間科學(xué)學(xué)報(bào), 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. 臧國(guó)珍, 宋貝, 田沖. 差分協(xié)同信號(hào)的維特比譯碼接收[J]. 軍事通信技術(shù), 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. 羅寧. 一種高速數(shù)傳接收機(jī)的高效維特比譯碼結(jié)構(gòu)設(shè)計(jì)[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, 裴亞麗, 李少謙. 一種4FSK軟解調(diào)方法[P]. 中國(guó), 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. -
計(jì)量
- 文章訪問(wèn)數(shù): 2289
- HTML全文瀏覽量: 262
- PDF下載量: 704
- 被引次數(shù): 0
下載:
