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论文:2016,Vol:34,Issue(2):208-214 |
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引用本文： |
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张玲玲, 黄建国, 韩晶, 张群飞. 水声MIMO-OFDM通信中的空频迭代信道估计与均衡[J]. 西北工业大学学报 |
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Zhang Lingling, Huang Jianguo, Han Jing, Zhang Qunfei. SFICEE(Spatial-Frequency Iterative Channel Estimation and Equalization) in Underwater Acoustic MIMO-OFDM Communication[J]. Northwestern polytechnical university |
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| 水声MIMO-OFDM通信中的空频迭代信道估计与均衡 |
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| 张玲玲, 黄建国, 韩晶, 张群飞 |
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| 西北工业大学 航海学院, 陕西 西安 710072 |
| 摘要: |
| 在MIMO-OFDM水声通信系统中,由于信道间的相互干扰和水声信道严重时延扩展产生的频率选择性衰落,系统的通信误码率较高。针对这一问题,研究了空频编码的MIMO-OFDM通信,提出空频迭代信道估计与均衡(Spatial Frequency Iterative Channel Estimation and Equalization, SFICEE)方法。该方法通过载波间的空频正交性进行各收发阵元对的信道估计,并通过空频均衡获得符号初始估计,迭代更新信道估计,而后通过符号后验软信息反馈进行迭代空频软均衡。仿真结果表明,当误码率为10-3时,文中所提出的SFICEE方法经过二次迭代与STBC方法相比具有4.8 dB的性能增益,相对于SFBC方法有2.8 dB的性能提升。当输入信噪比相同时,文中所提出方法的星座图更加收敛,可以更好地降低水下通信系统的误码率。 |
| 关键词:
水下通信
多输入多输出
正交频分复用
空频软均衡
迭代信道估计
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| SFICEE(Spatial-Frequency Iterative Channel Estimation and Equalization) in Underwater Acoustic MIMO-OFDM Communication |
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| Zhang Lingling, Huang Jianguo, Han Jing, Zhang Qunfei |
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| College of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072 China |
| Abstract: |
| In MIMO-OFDM underwater acoustic communication system, mutual channel interference and frequency domain deep selectivity due to serious time delay in underwater acoustic channel lead to severe communication performance. We present SFICEE method for space frequency block coding MIMO-OFDM communication system. In this receiver algorithm, channel of each transceiver pair is estimated through taking advantage of the space frequency orthogonal characteristics. Then spatial frequency equalization is introduced to obtain initial symbol estimation. The symbol estimation is iteratively fedback to update the channel estimation and forwarded to spatial frequency soft equalization. Simulation and analysis show that, the proposed method gains about 4.8 dB as compared with STBC system and 2.8dB as compared with SFBC system after two iterations. And also this method gets great output signal to noise ratio (RSN) improvement, as can be seen from the convergence of constellation, and shows visible reduction in bit error ratio. |
| Key words:
algorithm
bit error rate
computer simulation
covariance matrix
convergence of numerical methods
estimation
flowcharting
iterative methods
least squares approximations
MIMO systems
orthogonal frequency division multiplexing
probability density function
random variables
signal to noise ratio
stochastic systems
time delay
underwater acoustics
vectors
MIMO channel
STBC(space time block coding)
SFICEE(spatial-frequency iterative channel estimation and equalization)
underwater acoustic communication
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| 收稿日期: 2015-10-13
修回日期:
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| DOI: |
| 基金项目: 国家自然科学基金(61271415、61471298、61531015)、水下信息处理与控制国家重点实验室基金(9140C231002130C23085)、西北工业大学博士论文创新基金(CX201230)及西北工业大学基础研究基金-中央高校基本科研业务费专项基金(3102014JCQ01010)资助 |
| 通讯作者:
Email： |
| 作者简介: 张玲玲(1986-),女,西北工业大学博士研究生,主要从事水声通信、信道均衡研究。
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参考文献: |
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[1] Stojanovic M. Efficient Processing of Acoustic Signals for High-Rate Information Transmission over Sparse Underwater Channels[J]. Elsevier Journal on Physical Communication, 2008, 1(2):146-161
[2] Stojanovic M, Preisig J. Underwater Acoustic Communication Channels:Propagation Models and Statistical Characterization[J]. IEEE Communications Magazine, 2009, 47(1):84-89
[3] Qu F, Nie X, Xu W. A Two-Stage Approach for the Estimation of Doubly Spread Acoustic Channels[J]. IEEE Journal of Oceanic Engineering, 2015, 40(1):131-143
[4] 尹艳玲, 乔钢, 刘凇佐,等. 基于基追踪去噪的水声正交频分复用稀疏信道估计[J]. 物理学报, 2015, 64(6):227-234 Yin Yanling, Qiao Gang, Liu Songzuo, et al. Sparse Channel Estimation of Underwater Acoustic Orthogonal Frequency Division Multiplexing Based on Basis Pursuit Denoising[J]. Acta Physica Sinica, 2015, 64(6):227-234(in Chinese)
[5] 张玲玲, 黄建国, 韩晶,等. 基于短时傅里叶变换的水声通信自适应OFDM均衡[J]. 系统工程与电子技术, 2015, 37(4):918-921 Zhang Lingling, Huang Jianguo, Han Jing, et al. Adaptive OFDM Equalization in Underwater Acoustic Communication Based on Short Time Fourier Transform[J]. Systems Engineering and Electronics, 2015, 37(4):918-921(in Chinese)
[6] Li B, Zhou S, Stojanovic M, et al. Multicarrier Communication over Underwater Acoustic Channels with Nonuniform Doppler Shifts[J]. IEEE Journal of Oceanic Engineering, 2008, 33(2):198-209
[7] Pelekanakis K, Baggeroer A B. Exploiting Space-Time-Frequency Diversity with MIMO-OFDM for Underwater Acoustic Communications[J]. IEEE Journal of Oceanic Engineering, 2011, 36(4):502-513
[8] Eghbali H, Stojanovic M, Muhaidat S. Differential Decoding for SFBC OFDM Systems in Underwater MIMO Channels[C]//2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, Italy, 2014
[9] 许浩, 朱敏, 武岩波. 一种水声通信中的多阵元Turbo均衡算法[J]. 电子与信息学报, 2014,36(6):1465-1471 Xu Hao, Zhu Min, Wu Yanbo. An Algorithm of Multi-Array Turbo Equalization of Underwater Acoustic Communication[J]. Journal of Electronics & Information Technology, 2014, 36(6):1465-1471(in Chinese)
[10] Zorita E V, Stojanovic M. Space-Frequency Coded OFDM for Underwater Acoustic Communications[J]. IEEE Journal of Oceanic Engineering, 2014, 40(2):303-314 |
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