OFDM系统迭代脉冲噪声抑制与信道估计方法

doi:10.12305/j.issn.1001-506X.2024.08.31

摘要/Abstract

摘要：

针对脉冲噪声导致正交频分复用(orthogonal frequency division multiplexing, OFDM)水声通信系统误码率性能降低的问题, 提出一种迭代脉冲噪声抑制与信道估计方法。首先, 利用对称α稳定(symmetric α stable, SαS)分布对水下噪声进行建模, 并通过实测噪声数据进行拟合验证。其次, 基于脉冲噪声幅值较大的特性, 利用切比雪夫不等式对基带接收信号实部和虚部分别进行脉冲噪声检测和抑制。同时，通过分析最小二乘(least squares, LS)信道估计算法估计误差的统计特性, 提出自适应门限LS信道估计算法, 减轻残余噪声对信道估计的影响。最后, 结合估计的信道和译码结果重构噪声并进行脉冲噪声估计, 实现迭代脉冲噪声抑制与信道估计。仿真结果表明, 在不同程度脉冲噪声和实测噪声场景下, 所提方法能够有效抑制脉冲噪声, 显著降低OFDM系统误码率。

关键词: 水声通信, 正交频分复用, 脉冲噪声, 信道估计, 迭代估计

Abstract:

Aiming at the problem that impulsive noise deteriorates the bit error rate performance of orthogonal frequency division multiplexing (OFDM) underwater acoustic communication system, an iterative impulsive noise mitigation and channel estimation method is proposed. Firstly, the symmetric alpha stable (SαS) distribution is introduced to model underwater noise and validated by fitting the measured noise data. Secondly, based on the large amplitude property of the impulsive noise, impulsive noise detection and mitigation are respectively performed on the real and imaginary parts of the received baseband signal by Chebyshev inequality. And through analyzing the statistical characteristics of estimation error of the least squares (LS) channel estimation algorithm, an adaptive threshold LS channel estimation algorithm is proposed to reduce the impact of residual noise. Finally, combining the estimated channel and decoding results to reconstruct noise and estimate impulsive noise, the impulsive noise mitigation and channel estimation are iteratively performed. Simulation results demonstrate that under different levels of impulsive noise and measured noise, the proposed method can effectively suppress impulsive noise and significantly reduce the bit error rate of OFDM system.

Key words: underwater acoustic communication, orthogonal frequency division multiplexing (OFDM), impulsive noise, channel estimation, iterative estimation

中图分类号:

TN929.3

谭钢, 鄢社锋, 叶子豪, 杨基睿. OFDM系统迭代脉冲噪声抑制与信道估计方法[J]. 系统工程与电子技术, 2024, 46(8): 2841-2849.

Gang TAN, Shefeng YAN, Zihao YE, Jirui YANG. Iterative impulsive noise mitigation and channel estimation method for OFDM system[J]. Systems Engineering and Electronics, 2024, 46(8): 2841-2849.

图/表 9

图1

图2

图3

表1

图4

图5

图6

图7

图8

参考文献 30

1	LI H , DONG Y Y , GONG C H , et al. A non-Gaussianity-aware receiver for impulsive noise mitigation in underwater communications[J]. IEEE Trans.on Vehicular Technology, 2021, 70 (6): 6018- 6028. doi: 10.1109/TVT.2021.3079469
2	BERGER C R , ZHOU S L , PREISIG J C , et al. Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing[J]. IEEE Trans.on Signal Processing, 2009, 58 (3): 1708- 1721.
3	TIAN Y N , HAN X , YIN J W , et al. Group sparse underwater acoustic channel estimation with impulsive noise: simulation results based on Arctic ice cracking noise[J]. The Journal of the Acoustical Society of America, 2019, 146 (4): 2482- 2491. doi: 10.1121/1.5129056
4	孟庆松, 王彬, 邵高平. α稳定分布噪声下水声线性调频信号的识别[J]. 系统工程与电子技术, 2018, 40 (7): 1449- 1456.
	MENG Q S , WANG B , SHAO G P . Recognition of underwater acoustic linear frequency modulation signals in α stable distribution noise[J]. Systems Engineering and Electronics, 2018, 40 (7): 1449- 1456.
5	SONG G L , GUO X Y , LI H , et al. The α stable distribution model in ocean ambient noise[J]. Chinese Journal of Acoustics, 2021, 40 (1): 63- 79.
6	ZHIDKOV S V . Analysis and comparison of several simple impulsive noise mitigation schemes for OFDM receivers[J]. IEEE Trans.on Communications, 2008, 56 (1): 5- 9. doi: 10.1109/TCOMM.2008.050391
7	PETER A O , NG C K , NOORDIN N K . Power line communication (PLC) impulsive noise mitigation: a review[J]. Journal of Information Engineering and Applications, 2014, 4 (10): 86- 104.
8	KUAI X Y , SUN H X , ZHOU S L , et al. Impulsive noise mitigation in underwater acoustic OFDM systems[J]. IEEE Trans.on Vehicular Technology, 2016, 65 (10): 8190- 8202. doi: 10.1109/TVT.2016.2516539
9	MEHBOOB A, ZHANG L, KHANGOSSTAR J. Adaptive impulsive noise mitigation using multi mode compressive sensing for powerline communications[C]//Proc. of the IEEE International Symposium on Power Line Communications and its Applications, 2012: 368-373.
10	SUN H X , XU X K , MA L , et al. Carrier frequency offset and impulse noise estimation for underwater acoustic orthogonal frequency division multiplexing[J]. Chinese Journal of Acoustics, 2014, 33 (3): 289- 298.
11	殷敬伟, 高新博, 韩笑, 等. 稀疏贝叶斯学习水声信道估计与脉冲噪声抑制方法[J]. 声学学报, 2021, 46 (6): 813- 824.
	YIN J W , GAO X B , HAN X , et al. Underwater acoustic channel estimation and impulsive noise mitigation based on sparse Bayesian learning[J]. Chinese Journal of Acoustics, 2021, 46 (6): 813- 824.
12	SUTAR M B, PATIL V S. LS and MMSE estimation with different fading channels for OFDM system[C]//Proc. of the International Conference of Electronics, Communication and Aerospace Technology, 2017: 740-745.
13	CHIEN Y R . Iterative channel estimation and impulsive noise mitigation algorithm for OFDM-based receivers with application to power-line communications[J]. Proc.of the IEEE Trans.on Power Delivery, 2015, 30 (6): 2435- 2442. doi: 10.1109/TPWRD.2015.2445925
14	JELLALI Z, ATALLAH L N. Threshold-based channel estimation for MSE optimization in OFDM systems[C]//Proc. of the 20th European Signal Processing Conference, 2012: 1618-1622.
15	ZHU H J, GE Y Z, CHEN X F. DFT-based adaptive channel estimation for OFDM systems[C]//Proc. of the IEEE 16th International Conference on Communication Technology, 2015: 515-517.
16	SHI X L , YANG Y X , YANG L . Sparse channel estimation in OFDM systems via improved tap detection[J]. International Journal of Future Generation Communication and Networking, 2016, 9 (10): 217- 226. doi: 10.14257/ijfgcn.2016.9.10.19
17	DING J J, CHEN Z, HE X, et al. Clustering by finding density peaks based on Chebyshev's inequality[C]//Proc. of the 35th Chinese Control Conference, 2016: 7169-7172.
18	ZHANG Z Z , HOU J J , MA Q L , et al. Efficient video frame insertion and deletion detection based on inconsistency of correlations between local binary pattern coded frames[J]. Seurity and Communciation Networks, 2015, 8 (2): 311- 320. doi: 10.1002/sec.981
19	WANG J J , LI J H , YAN S F , et al. A novel underwater acoustic signal denoising algorithm for Gaussian/non-Gaussian impulsive noise[J]. IEEE Trans.on Vehicular Technology, 2020, 70 (1): 429- 445.
20	TAN G, YAN S F, YANG B B. Impulsive noise suppression and concatenated code for OFDM underwater acoustic communications[C]//Proc. of the IEEE International Conference on Signal Processing, Communications and Computing, 2022.
21	WANG S C , HE Z Q , NIU K , et al. New results on joint channel and impulsive noise estimation and tracking in underwater acoustic OFDM systems[J]. IEEE Trans.on Wireless Communications, 2020, 19 (4): 2601- 2612. doi: 10.1109/TWC.2020.2966622
22	BANERJEE S, AGRAWAL M. On the performance of underwater communication system in noise with Gaussian mixture statistics[C]//Proc. of the 12th National Conference on Communications, 2014.
23	LIN J , NASSAR M , EVANS B L . Impulsive noise mitigation in powerline communications using sparse Bayesian learning[J]. IEEE Journal on Selected Areas on Selected Areas in Communications, 2013, 31 (7): 1172- 1183. doi: 10.1109/JSAC.2013.130702
24	GUPTA M R , CHEN Y H . Theory and use of the EM algorithm[J]. Foundations and Trends in Signal Processing, 2011, 4 (3): 223- 296.
25	DOU Z , SHI C Z , LIN Y , et al. Modeling of non-Gaussian colored noise and application in CR multi-sensor networks[J]. EURASIP Journal on Wireless Communications and Networking, 2017, 2017, 1- 11. doi: 10.1186/s13638-016-0795-x
26	QARABAQI P , STOJANOVIC M . Statistical characterization and computationally efficient modeling of a class of underwater acoustic communication channels[J]. IEEE Journal Oceanic Engineering, 2013, 38 (4): 701- 717. doi: 10.1109/JOE.2013.2278787
27	WANG Z Z , LI Y Z , WANG C C , et al. A-OMP: an adaptive OMP algorithm for underwater acoustic OFDM channel estimation[J]. IEEE Wireless Communications Letters, 2021, 10 (8): 1761- 1765. doi: 10.1109/LWC.2021.3079225
28	TADAYON A , STOJANOVIC M . Iterative sparse channel estimation and spatial correlation learning for multichannel acoustic OFDM systems[J]. IEEE Journal of Oceanic Engineering, 2019, 44 (4): 820- 836. doi: 10.1109/JOE.2019.2932662
29	廖志宇, 朱广平, 殷敬伟, 等. 冰下脉冲噪声特性及信号检测性能分析[J]. 哈尔滨工程大学学报, 2021, 42 (5): 670- 679.
	LIAO Z Y , ZHU G P , YIN J W , et al. Characteristics of impulse noise under ice and performance analysis of signal detection[J]. Journal of Harbin Engineering University, 2021, 42 (5): 670- 679.
30	赵世铎, 鄢社锋. 基于扩展路径识别算法的水声OFDM系统低复杂度迭代稀疏信道估计[J]. 电子与信息学报, 2021, 43 (3): 752- 757.
	ZHAO S D , YAN S F . Low-complexity iterative sparse channel estimation for underwater acoustic OFDM systems based on generalized path identification algorithm[J]. Journal of Electronics & Information Technology, 2021, 43 (3): 752- 757.

参数	取值
带宽B/kHz	6
中心频率f_c/kHz	12
采样频率f_s/kHz	96
循环前缀T_c/ms	42.6
子载波数K	1 024
数据子载波数D	672
导频子载波数P	256
符号数N_b	6

[1]	刘刚, 李雨航, 杨庆鑫, 郭漪. 基于压缩感知的智能反射面信道估计[J]. 系统工程与电子技术, 2024, 46(7): 2490-2497.
[2]	方智敬, 陈媛, 王俊杰. 改进的可见光通信系统PTS峰均比抑制方法[J]. 系统工程与电子技术, 2024, 46(7): 2509-2514.
[3]	邹涵, 张天骐, 马焜然, 杨宗方. 基于多特征融合的MIMO-OFDM系统单-混信号调制识别算法[J]. 系统工程与电子技术, 2024, 46(4): 1456-1465.
[4]	张刚, 陈茜, 蒋忠均. 高速置换索引差分混沌移位键控通信系统[J]. 系统工程与电子技术, 2024, 46(3): 1125-1133.
[5]	毛毅, 段永胜, 黄中瑞, 张峻宁. 一种在脉冲噪声环境下的最大相关熵目标直接定位算法[J]. 系统工程与电子技术, 2023, 45(9): 2651-2658.
[6]	金志刚, 尹欢, 苏毅珊. 基于不完美CSI的水声自适应功率分配算法[J]. 系统工程与电子技术, 2023, 45(9): 2941-2948.
[7]	杨丽花, 任露露, 呼博, 邵永琪, 聂倩. 基于元学习的时变信道估计方法[J]. 系统工程与电子技术, 2023, 45(6): 1872-1879.
[8]	季策, 田博彦, 耿蓉, 李伯群. 基于VSCBOMP算法的FBMC/OQAM系统信道估计[J]. 系统工程与电子技术, 2023, 45(4): 1193-1199.
[9]	汪锐, 张天骐, 安泽亮, 王雪怡, 方竹. 基于联合特征参数和一维CNN的MIMO-OFDM系统调制识别算法[J]. 系统工程与电子技术, 2023, 45(3): 902-912.
[10]	季策, 宋博翰, 耿蓉, 梁敏骏. 快时变信道下基于深度学习的OFDM系统信道估计[J]. 系统工程与电子技术, 2023, 45(11): 3649-3655.
[11]	吕岩, 曹菲, 许剑锋, 冯晓伟. 基于FRFT的单基地MIMO雷达稳健波束形成算法[J]. 系统工程与电子技术, 2023, 45(1): 79-85.
[12]	王震铎, 朱云飞, 宁晓燕, 刁鸣. FrFT-OFDM系统中联合ICI自消除方案[J]. 系统工程与电子技术, 2022, 44(8): 2645-2651.
[13]	高潭, 吕成财, 田川. 面向OFDM-MFSK水声通信的差错控制方法[J]. 系统工程与电子技术, 2022, 44(5): 1701-1708.
[14]	金艳, 赵大地, 姬红兵. 脉冲噪声下基于NAT函数的LFM信号参数估计[J]. 系统工程与电子技术, 2022, 44(3): 762-770.
[15]	党建, 李业伟, 朱永东, 郭荣斌, 张在琛, 吴亮. 可重构智能表面通信系统的渐进信道估计方法[J]. 系统工程与电子技术, 2022, 44(3): 998-1006.