Online Blind Equalization Algorithm for Satellite Channel Based on Echo State Network

Ling YANG; Bin ZHAO; Liang CHEN; Yuan LI; Guolong ZHANG

doi:10.11999/JEIT190034

Volume 41 Issue 10

Oct. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(10): 2334-2341

Ling YANG, Bin ZHAO, Liang CHEN, Yuan LI, Guolong ZHANG. Online Blind Equalization Algorithm for Satellite Channel Based on Echo State Network[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2334-2341. doi: 10.11999/JEIT190034

Citation:

Ling YANG, Bin ZHAO, Liang CHEN, Yuan LI, Guolong ZHANG. Online Blind Equalization Algorithm for Satellite Channel Based on Echo State Network[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2334-2341. doi: 10.11999/JEIT190034

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Online Blind Equalization Algorithm for Satellite Channel Based on Echo State Network

doi: 10.11999/JEIT190034

School of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China

Funds: The Fundamental Research Fund for the Central Universities (lzujbky-2017-38), The Natural Science Foundation of Gansu Province (Longitudinal 20180322)

Received Date: 2019-01-15
Rev Recd Date: 2019-05-30

Available Online: 2019-06-12

Publish Date: 2019-10-01

Abstract

Abstract

Two online blind equalization algorithms based on Echo State Network (ESN) in this paper are proposed for the nonlinear satellite channel. These two algorithms take advantage of the good nonlinear approximation of ESN to bring the High-Order Statistics (HOS) of the transmitted signal into the ESN, and constructing cost function of blind equalization by combining Constant Modulus Algorithm (CMA) and Multi-Modulus Algorithm (MMA). Then, the Recursive Least Squares (RLS) algorithm is used to iteratively optimize the network output weights, and the online blind equalization of the constant modulus signals and the multi-modulus signals over the channel of Volterra satellite are realized. Experiments show that the proposed algorithms can effectively reduce the distortion of the transmitted signal by the nonlinear channel. Compared with the traditional Volterra filtering method, they have faster convergence speed and lower mean square error.
- Volterra satellite channel,
- Echo State Network (ESN),
- Constant Modulus Algorithm (CMA),
- Multi-Modulus Algorithm (MMA),
- Recursive Least Squares (RLS)

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References

MELONI A and MURRONI M. On the genetic optimization of APSK constellations for satellite broadcasting[C]. 2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, Beijing, China, 2014: 1–6. doi: 10.1109/BMSB.2014.6873465.

MOUSSA A, POULIQUEN M, FRIKEL M, et al. Blind equalisation in the presence of bounded noise[J]. IET Signal Processing, 2018, 12(8): 957–965. doi: 10.1049/iet-spr.2017.0445

孙海飞, 江桦. 非线性卫星信道下的粒子滤波盲均衡方法[J]. 信号处理, 2015, 31(5): 587–593. doi: 10.3969/j.issn.1003-0530.2015.05.011

SUN Haifei and JIANG Hua. Particle filtering blind equalization method in nonlinear satellite channel[J]. Journal of Signal Processing, 2015, 31(5): 587–593. doi: 10.3969/j.issn.1003-0530.2015.05.011

SÉNÉCAL S, AMBLARD P O, and CAVAZZANA L. Particle filtering equalization method for a satellite communication channel[J]. EURASIP Journal on Advances in Signal Processing, 2004, 2004: 591429. doi: 10.1155/S1110865704404090

MALONE J and WICKERT M A. Practical volterra equalizers for wideband satellite communications with TWTA nonlinearities[C]. 2011 Digital Signal Processing and Signal Processing Education Meeting, Sedona, USA, 2011: 481–53. doi: 10.1109/DSP-SPE.2011.5739185.

郭业才, 费赛男, 王惠. 基于多小波双变换的非线性卫星信道盲均衡算法[J]. 电子学报, 2016, 44(10): 2384–2390. doi: 10.3969/j.issn.0372-2112.2016.10.015

GUO Yecai, FEI Sainan, and WANG Hui. Nonlinear satellite channel blind equalization algorithm based on multi-wavelet double transformation[J]. Acta Electronica Sinica, 2016, 44(10): 2384–2390. doi: 10.3969/j.issn.0372-2112.2016.10.015

BENVENUTO N, MARCHESI M, PIAZZA F, et al. Non linear satellite radio links equalized using blind neural networks[C]. 1991 International Conference on Acoustics, Speech, and Signal Processing, Toronto, Canada, 1991: 1521–1524. doi: 10.1109/ICASSP.1991.150526.

LI Yanqin, GUO Chunsheng, ZHANG Zhen, et al. A novel feed-forward neural network blind equalization algorithm[C]. 2010 International Conference on Intelligent Control and Information Processing, Dalian, China, 2010: 404–408. doi: 10.1109/ICICIP.2010.5564245.

王贵银. 复数Hopfield神经网络盲均衡QAM信号[J]. 电子测试, 2011(5): 57–60. doi: 10.3969/j.issn.1000-8519.2011.05.014

WANG Guiyin. Blind equalization of QAM with a complex Hopfield neural network[J]. Electronic Test, 2011(5): 57–60. doi: 10.3969/j.issn.1000-8519.2011.05.014

RUAN Xiukai, LI Chang, YANG Weibo, et al. Blind sequence detection using reservoir computing[J]. Digital Signal Processing, 2017, 62: 81–90. doi: 10.1016/j.dsp.2016.10.012

ZORN S, EHM H J, and WEIGEL R. A novel technique for determining kernels of volterra based behavioral models for RF amplifiers[C]. The 38th European Microwave Conference, Amsterdam, Netherlands, 2008: 246–249. doi: 10.1109/EUMC.2008.4751434.

唐成凯, 张玲玲, 廉保旺. 卫星高阶调制信号通信下非线性误差修正均衡方法[J]. 通信学报, 2017, 38(1): 117–125. doi: 10.11959/j.issn.1000-436x.2017014

TANG Chengkai, ZHANG Lingling, and LIAN Baowang. Nonlinear error modified equalization algorithm in high-order modulation of satellite communication[J]. Journal of Communications, 2017, 38(1): 117–125. doi: 10.11959/j.issn.1000-436x.2017014

ZHOU Haowen, HUANG Jinquan, LU Feng, et al. Echo state kernel recursive least squares algorithm for machine condition prediction[J]. Mechanical Systems and Signal Processing, 2018, 111: 68–86. doi: 10.1016/j.ymssp.2018.03.047

PARK D J, JUN B E, and KIM J H. Fast tracking RLS algorithm using novel variable forgetting factor with unity zone[J]. Electronics Letters, 1991, 27(23): 2150–2151. doi: 10.1049/el:19911331

李进, 冯大政, 刘文娟. 快速QAM信号多模盲均衡算法[J]. 电子与信息学报, 2013, 35(2): 273–279. doi: 10.3724/SP.J.1146.2012.00609

LI Jin, FENG Dazheng, and LIU Wenjuan. A fast multimodulus blind equalization algorithm for QAM signal[J]. Journal of Electronics &Information Technology, 2013, 35(2): 273–279. doi: 10.3724/SP.J.1146.2012.00609

PAVAN F R M, SILVA M T M, and MIRANDA M D. A numerically robust blind equalization scheme applied to MIMO communication systems[J]. Journal of the Franklin Institute, 2018, 355(1): 596–624. doi: 10.1016/j.jfranklin.2017.10.036

MBOUP M and REGALIA P A. A gradient search interpretation of the super-exponential algorithm[J]. IEEE Transactions on Information Theory, 2000, 46(7): 2731–2734. doi: 10.1109/18.887889

MIRANDA M D, SILVA M T M, and NASCIMENTO V H. Avoiding divergence in the shalvi-weinstein algorithm[J]. IEEE Transactions on Signal Processing, 2008, 56(11): 5403–5413. doi: 10.1109/TSP.2008.928505

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