多输入多输出正交频分复用浅海水声通信打孔判决反馈信道估计算法

doi:10.3969/j.issn.1000-1093.2013.09.010

摘要/Abstract

摘要：

主要研究多输入多输出正交频分复用(MIMO-OFDM)水声通信判决反馈信道估计技术。针对传统判决反馈信道估计算法在非高斯加性噪声环境下跟踪估计缓慢时变水声信道存在误码遗传的缺点,提出了水声通信打孔判决反馈信道估计算法。利用级联码解编码信息评价水声信道频域响应估计值的可靠性,删除偏差明显的频域子信道,结合插值等手段恢复完整的信道频域响应,作为信道反馈信息。仿真和水池实验结果表明,基于打孔技术的判决反馈信道估计算法相较传统算法能够更好地抑制误码遗传,对抗突发噪声,跟踪信道的缓慢时变,提高水声通信质量。

关键词: 信息处理技术, 水声通信, 判决反馈, 信道打孔, 多输入多输出正交频分复用

Abstract:

The technique of channel decision feedback estimation of multiple input/ multiple output orthogonal frequency division multiplexing (MIMO-OFDM) underwater acoustic communication system is studied. To overcome the disadvantage of error code propagation of channel decision feedback estimation algorithm, an improved algorithm based on channel punching technique is proposed. The difference between the received raw signal and the re-coded information signal is used to judge the criteria of channel compensation, and those uncertain sub-channels are punched and revalued by interpolation technique. The experimental results obtained with numerical simulation and tank-trial data are provided, demonstrating that the proposed algorithm can effectively confine the propagation of error code , abate the burst noise effect, track the variety of channel and significantly increase the quality of the system.

Key words: information processing, underwater acoustic communication, decision feedback, channel punching technique, multiple input/ multiple output and orthogonal frequency division multiplexing

中图分类号:

TB567

王巍, 乔钢, 王玥, 邢思宇, 刘凇佐. 多输入多输出正交频分复用浅海水声通信打孔判决反馈信道估计算法[J]. 兵工学报, 2013, 34(9): 1116-1124.

WANG Wei, QIAO Gang, WANG Yue, XING Si-yu, LIU Song-zuo. Decision Feedback Estimation of Multiple-input Multiple-output Orthogonal Frequency Division Multiplexing Channel Based on Punching Technique Via UWA Shallow Sea[J]. Acta Armamentarii, 2013, 34(9): 1116-1124.

参考文献

[1] Javier V, Ignacio S. A new subspace method for blind estimation of selective MIMO-STBC channels [J]. Wireless Communications and Mobile Computing, 2010, 11(10): 1478 -1492. [2] Alieh M, Hamidreza B. Pilot placement for time-varying MIMO OFDM channels with virtual subcarriers [J]. Communications and Network, 2011, 3:31 -38. [3] 孙宏图,王琳,魏琴芳. LDPC 码在MIMO-OFDM 迭代接收系统中的性能研究[J]. 重庆邮电大学学报:自然科学版, 2008,20(1): 15 -19 SUN Hong-tu, WANG Lin, WEI Qin-fang. Performance research on MIMO-OFDM iterative receive system based on LDPC code [J]. Journal of Chongqing University of Posts and Telecommunications: Natural Science Edition, 2008, 20(1): 15 - 19. (in Chinese) [4] Donoho D L. Compressed Sensing[J]. IEEE Transaction on Signal Processing, 2006, 52(4): 1289 -1306. [5] 惠俊英. 水下声信道[M]. 第2 版. 北京:国防工业出版社,2007:37 -40. HUI Jun-ying. Underwater acoustic channel[M]. 2nd ed. Beijing: National Defense Industry Press, 2007: 37 - 40. (in Chinese) [6] Chen C Y,Chiue T D. Iterative receiver for mobile MIMO-OFDM systems using ICI-aware list-update MIMO detection[C] //IEEE International Conference on Communications. Cape Town: IEEE,2010:1 -5. [7] 于华楠,郭树旭. 基于压缩传感的MIMO-OFDM 水声通信信道估计算法[J]. 系统工程与电子技术,2012,34(6):1252 -1257. YU Hua-nan, GUO Shu-xu. Channel estimation for MIMO-OFDM underwater acoustic communication based on compressed sensing [J]. Systems Engineering and Electronics, 2012,34(6):1252 -1257. (in Chinese) [8] 邓红超, 巩玉振, 蔡惠智. 基于MIMO-OFDM 的高速水声通信技术研究[J]. 通信技术, 2009,42(11):37 -39 DENG Hong-chao, GONG Yu-zhen, CAI Hui-zhi. High-speed underwater acoustic communication technique based on MIMO-OFDM[J]. Communications Technology, 2009, 42(11): 37 -39. (in Chinese) [9] 张歆, 张小蓟, 乔红乐. 水声MIMO 信道模型和容量分析[J]. 西北工业大学学报, 2011, 29(2):234 -238. ZHANG Xin, ZHANG Xiao-ji, QIAO Hong-le. On the model and capacity of MIMO underwater acoustic channels (UWACs) [J].Journal of Northwestern Polytechnical University, 2011, 29(2):234 -238. (in Chinese) [10] Carrascosa P C, Stojanovic M. Adaptive channel estimation and data detection for underwater acoustic MIMO-OFDM systems[J].IEEE Journal of Oceanic Engineering, 2010, 35 (3): 635 -646. [11] 李娜,乔钢. OFDM 水声通信信道估计技术研究[J]. 现代电子技术, 2007, 23:56 -58. LI Na, QIAO Gang. Study on channel estimation technique of OFDM underwater acoustic communication system[J]. Modern Electronics Technology, 2007, 23:56 -58. (in Chinese) [12] Huang J, Huang J Z, Christian R B. Iterative sparse channel estimation and decoding for underwater MIMO-OFDM[J]. EURASIP Journal on Advances in Signal Processing, 2010:460379. [13] Anwar K, Matsumoto T. MIMO spatial turbo coding with iterative equalization[C] //2010 International ITG Workshop on Smart Antennas, IEEE Computer Society. Bremen, Smart Antennas:IEEE, 2010: 428 -433. [14] Subramaniam L V, Sundarrajan B, Bahl R. Trellis coded modulation schemes for underwater acoustic communications [C] //OCEANS'98 Conference Proceedings. France: IEEE, 1998:800 -804. [15] Alamouti S M. A simple transmit diversity technique for wireless communications[J]. IEEE Journal on Selected Areas in Communications. 1998, 16(8): 1451 – 1458. [16] Sun Z X,Wang W, Qiao G, et al. Pilots updating channel compensation base on underwater MIMO-OFDM[ J]. Applied Mechanics and Material,2012, 199: 1761 -1767. [17] 徐晓卡. 基于OFDM 的浅海高速水声通信关键技术研究[D]. 哈尔滨: 哈尔滨工程大学, 2011. XU Xiao-ka. The study of the key technologies for high-speed shallow water acoustic communication based on OFDM[D]. Harbin: Harbin Engineering University, 2011. (in Chinese) [18] Wang W, Qiao G, Khan R, et al. Circlar decoding and sparse channel estimation for underwater MIMO-OFDM [ J]. Applied Mechanics and Materials, 2012, 199:1748 -1754. [19] Ran M H, Huang J G, Fu H J, et al. Sparse channel estimation based on compressive sensing for OFDM underwater acoustic communication[J]. Systems Engineering and Electronics, 2011, 33(5): 1157 -1161. [20] Figueiredo M A, Robert, Nowak D. Gradient projection for sparse reconstruction: application to compressed sensing and other inverse problems[J]. IEEE Journal of Selceted Topics in Signal Processing, 2008, 1(4):586 -597. [21] Xu X K, Wang Z H, Zhou S L, et al. Parameterizing both path amplitude and delay variations of underwater acoustic channels for block decoding of orthogonal frequency division multiplexing[J].Acoustical Society of America, 2012, 131(6):4672 -4679. [22] 韩雅菲. 多载波CDMA 系统中粒子滤波及改进算法研究[D]. 哈尔滨:哈尔滨工程大学, 2011. HAN Ya-fei. Study on particle filtering and its improved algorithm in MC-CDMA system[D]. Harbin: Harbin Engineering University, 2011. (in Chinese) [23] Tsakalides P, Nikias C. Maximum likelihood localization of sources in noise modeled as a stable process[J]. IEEE Transaction on Signal Processing, 1995, 43(11): 2700 -2713. [24] 王巍, 尹艳玲, 刘凇佐, 等. 基于频域变采样的OFDM 水声通信多普勒补偿算法[J]. 声学技术, 2013,32(1):54 -58. WANG Wei, YIN Yan-ling, LIU Song-zuo, et al. Doppler compensation of using frequency domain re-sampling in underwater acoustic mobile OFDM communication[J]. Technical Acoustics,2013, 32(1):54 -58. (in Chinese)