无线紫外光散射通信中的改进CMA-FSE盲均衡算法

doi:10.11959/j.issn.1000-436x.2019065

Journal on Communications ›› 2019, Vol. 40 ›› Issue (3): 102-108.doi: 10.11959/j.issn.1000-436x.2019065

• Papers • Previous Articles Next Articles

Improved CMA-FSE blind equalization algorithm for wireless ultraviolet communication

Taifei ZHAO^1,²,Longfei LIU¹,Jing WANG¹,Liyang YANG¹

¹ Faculty of Automation and Information Engineering,Xi’an University of Technology,Xi’an 710048,China
² Robot Technology Used for Special Environment Key Laboratory of Sichuan Province,Southwest University of Science and Technology,Mianyang 621010,China

Revised:2018-09-20 Online:2019-03-01 Published:2019-04-04
Supported by:
The Natural Science Foundation of China-Civil Aviation Administration of China Joint Research Fund(U1433110);Science and Technology Planning Program Funded by Beilin District of Xi’an(GX1617);Scientific Research Program Funded by Shaanxi Provincial Education Department(17-JF024);Fund of Robot Technology Used for Special Environment Key Laboratory of Sichuan Province(17kftk04)

Abstract

Abstract:

There are serious intersymbol interference (ISI) and signal attenuation in wireless ultraviolet communication system.Aiming at this problem,an improved constant modulus fractionally spaced equalizer (CMA-FSE) based on signal-to-noise (SNR) estimation was proposed.The algorithm combined the fractionally spaced equalizer (FSE) and constant modulus algorithm (CMA) for blind equalization of wireless ultraviolet channels.The input SNR was measured by the mean square value of the received signal,and it was used to determine the best iterative step to ensure the convergence of the equalization algorithm.Simulation results show that the improved CMA-FSE algorithm can converge rapidly under various SNR,and it can effectively suppress ISI and improve the BER performance of the system.Compared with the existing algorithms,the improved algorithm is more useful in channel tracking and noise suppression.

Key words: ultraviolet communication, intersymbol interference, channel equalization, signal-to-noise radio estimation

CLC Number:

TN929.1

Taifei ZHAO,Longfei LIU,Jing WANG,Liyang YANG. Improved CMA-FSE blind equalization algorithm for wireless ultraviolet communication[J]. Journal on Communications, 2019, 40(3): 102-108.

Figures/Tables 11

References 15

[1]	陈薛刚, 占光 . 紫外光散射通信的军事应用研究[J]. 国防科技, 2010,31(3): 24-27.
	CHEN X G , ZHAN G . A study of communication theory and its military application[J]. Nation Defense Science and Technology, 2010,31(3): 24-27.
[2]	LIAO L , DROST R J , LI Z ,et al. Long-distance non-line-of-sight ultraviolet communication channel analysis:experimentation and modelling[J]. IET Optoelectronics, 2015,9(5): 223-231.
[3]	WANG L , HE Q , XU Z ,et al. Performance of non-line-of-sight ultraviolet communication receiver in ISI channel[J]. Proceedings of SPIE-The International Society for Optical Engineering, 2010,7814(6): 781409-7.
[4]	ZHANG S , ZHANG J , SO H C . Mean square deviation analysis of LMS and NLMS algori-thms with white reference inputs[J]. Signal Processing, 2017,131: 20-26.
[5]	AGAZZI O E , HUEDA M R , CARRER H S ,et al. Maximum-likelihood sequence estimation in dispersive optical channels[J]. Journal of Lightwave Technology, 2005,23(2): 749-763.
[6]	SCARANO G , PETRONI A , BIAGI M ,et al. Second order statistics driven LMS blind fracti-onally spaced channel equalization[J]. IEEE Signal Processing Letters, 2017,PP(99): 1-1.
[7]	HATZINAKOS D , NIKIAS C L . Blind equalization using a tricepstrum-based algorithm[J]. IEEE Transactions on Communications, 1991,39(5): 669-682.
[8]	张贤达, 保铮 . 通信信号处理[M]. 北京: 国防工业出版社, 2000.
	ZHANG X D , BAO Z . Signal processing for communications[M]. Beijing: National Defence Industrial PressPress, 2000.
[9]	JOHANNISSON P , SJ?DIN M , KARLSSON M ,et al. Modified constant modulus algorithm for polarization-switched QPSK[J]. Optics Express, 2011,19(8): 7734-7741.
[10]	LUETTGEN M R , REILLY D M , SHAPIRO J H . Non-line-of-sight single-scatter propagation model[J]. Journal of the Optical Society of America A, 1991,8(12): 1964-1972.
[11]	QIN H , ZUO Y , LI F ,et al. Analytical link bandwidth model based square array reception for non-line-of-sight ultraviolet communication[J]. Optics Express, 2017,25(19): 22693-22703.
[12]	DING H , CHEN G , MAJUMDAR A K ,et al. Modeling of non-line-of-sight ultraviolet scat-tering channels for communication[J]. IEEE Journal on Selected Areas in Communications, 2009,27(9): 1535-1544.
[13]	XU Z , CHEN G , ABOUGALALA F . Experimental performance evaluation of non-line-of-sight ultraviolet communication systems[J]. Colloids ＆ Surfaces A Physicochemical ＆ Engi-neering Aspects, 2008,6709(s2-3): 161-173.
[14]	徐浩然, 左勇, 张文博 ,等. 紫外光散射通信系统的噪声研究[J]. 光散射通信研究, 2013,39(2): 65-69.
	XU H R , ZUO Y , ZHANG W B ,et al. Research on noise in ultraviolet communication systems[J]. Study on Optical Communications, 2013,39(2): 65-69.
[15]	赵太飞, 余叙叙, 包鹤 ,等. 无线日盲紫外光测距定位方法[J]. 光学精密工程, 2017,25(9): 23-24.
	ZHAO T F , YU X X , BAO H ,et al. Ranging and positioning method using wireless solar blind ultraviolet[J]. Optics and Precision Engineering, 2017,25(9): 23-24.

Metrics

Recommended 0

No Suggested Reading articles found!

参数名称	参数值
光束发散角θ_T	30°
接收视场角θ_R	60°
发信机仰角β_T	60°
接收机仰角β_R	60°
数据速率R_b/(Mbit.s^-1)	1
通信距离r/m	200

Improved CMA-FSE blind equalization algorithm for wireless ultraviolet communication

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 11

References 15

Related Articles 9

Metrics

Recommended 0

[1]	Ru HUO, Dong NI, Hua LU, Yunfeng XIA, Shuo WANG, Tao HUANG, Yunjie LIU. Efficient routing strategy of blockchain-based payment channel network [J]. Journal on Communications, 2021, 42(6): 30-40.
[2]	Yan-ling YIN,Gang QIAO,Song-zuo LIU. Underwater acoustic OFDM channel equalization based on virtual time reversal mirror [J]. Journal on Communications, 2015, 36(1): 90-99.
[3]	Yong-chuan WANG,Zi-li CHEN. Frequency domain channel estimation and equalization for distri-buted STBC-SC-FDE systems with amplify-and-forward relaying [J]. Journal on Communications, 2013, 34(3): 99-104.
[4]	Bin GUO,Xue-mei BAI. Blind equalization criteria for MIMO-FIR channels driven by colored signal [J]. Journal on Communications, 2012, 33(7): 177-182.
[5]	Da-zhi PIAO,Qi-hu LI,Chang-yu SUN. Study of the interference reducing capability of time reversal techniques in underwater acoustic MIMO systems [J]. Journal on Communications, 2008, 29(7): 81-87.
[6]	Xiao-rong XU,Bao-yu ZHENG,Jing-wu CUI,Yu-long ZOU. Research in the technologies of channel equalization in FMT system [J]. Journal on Communications, 2008, 29(3A): 5-12.
[7]	Zhen-li WANG,Xiong-wei ZHANG,Rong-feng LI. An adaptive equalization method for compensating high abnormal [J]. Journal on Communications, 2005, 26(2): 127-130.
[8]	Lin LING,Pei-zhong LU. Soft decision-directed modified constant modulus algorithm [J]. Journal on Communications, 2005, 26(12): 75-80.
[9]	Liang ZHANG,Chen-yang YANG. Channel equalization performance of rake receiver in UWB systems [J]. Journal on Communications, 2005, 26(10): 78-83.