基于星座软信息的猝发信号盲均衡算法

doi:10.11999/JEIT160420

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Abstract

For the characteristics of amplitude and phase-modulated signals in non-cooperative burst communication like less known information, less data, and low signal to noise ratio, Modified Constant Modulus Algorithm (MCMA) is concentrated on and a blind equalization algorithm is designed based on soft constellation information. The proposed algorithm could achieve a quick blind equalization while just using the statistics of the samples of the receiver and adopting the ideology of cyclic iteration. The scheme has a lower complexity, better flexibility while disregarding the modulation type, which made it a good choice for non-cooperative condition. The simulation indicates that the new algorithm has a superior on existing algorithms in converging speed, equalization result, and durability while keeping the performance on defensing noise, frequency offset and phase offset, and can be applied into engineering practice.

Key words： Non-cooperative reception Burst signals Blind equalization Cyclic iteration

Received: 28 April 2016 Published: 14 November 2016

PACS:

TN911.6

Fund:

The National Natural Science Foundation of China (61072046)

Corresponding Authors: QIU Zhaoyang E-mail: qiuzhaoyang2010100@163.com

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	HUANG Yan
	QIU Zhaoyang
	OUYANG Xi

Cite this article:

HUANG Yan,QIU Zhaoyang,OUYANG Xi. Blind Equalization for Burst Signals Based on Soft Information of Constellation[J]. JEIT, 2017, 39(3): 568-574.

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http://jeit.ie.ac.cn/EN/10.11999/JEIT160420 OR http://jeit.ie.ac.cn/EN/Y2017/V39/I3/568

[1]	ABRAR Shafayat and NANDI Asoke K. An adaptive constant modulus blind equalization algorithm and its stochastic stability analysis[J]. IEEE Signal Processing Letters, 2010, 17(1): 55-58. doi: 10.1109/LSP.2009. 2031765.
[2]	杨发权. 无线通信信号调制识别关键技术与理论研究[D]. [博士论文], 西安电子科技大学, 2015.
	YANG Faquan. The key techniques and theories research on Modulation recognition for wireless communication signals [D]. [Ph.D. dissertation], Xidian university, 2015.
[3]	赵雄文, 郭春霞, 李景春. 基于高阶累积量和循环谱的信号调制方式混合识别算法[J]. 电子与信息学报, 2016, 38(3): 674-680. doi: 10.11999/JEIT150747.
	ZHAO Xiongwen, GUO Chunxia, and LI Jingchun. Mixed recognition algorithm for signal modulation schemes by high-order cumulants and cyclic spectrum[J]. Journal of Electronics & Information Technology, 2016, 38(3): 674-680. doi: 10.11999/JEIT150747.
[4]	陈泽艺. 基于循环谱和高阶累积量的联合模式识别方法[J].电讯技术, 2015, 16(3): 328-332. doi: 10.3969/j.issn.1001-893x. 2015.03.017.
	CHEN Zeyi. A combined modulation recognition based on cyclic spectrum and high-order cumulants[J]. Telecommunication Engineering, 2015, 16(3): 328-332. doi: 10.3969/j.issn.1001-893x.2015.03.017.
[5]	KIL Yamoh and YONG Ohkchin. Modified constant modulus algorithm: blind equalization and carrier phase recovery algorithm[C]. IEEE International Conference on Communications, Seattle, USA, 1995: 498-502. doi: 10.1109 /ICC.1995.525219.
[6]	许华, 郑辉, 张冬梅. 基于“数据重用”的常模盲均衡算法[J].通信学报, 2009, 30(7): 73-77.
	XU Hua, ZHENG Hui, and ZHANG Dongmei. Analysis of constant modulus blind equalization algorithms based on “data reuse”[J]. Journal on Communications, 2009, 30(7): 73-77.
[7]	OERDER M and MEYR H. Digital filter and square timing recovery[J]. IEEE Transactions on Communications, 1988, 36(5): 605-612. doi: 10.1109/26.1476.
[8]	刘少林. MPSK信号调制方式识别与参数估计[D]. [博士论文],北京邮电大学, 2015.
	LIU Shaolin. Modulation recognition and parameter estimation of MPSK signals[D]. [Ph.D. dissertation], Beijing University of Posts and Telecommunications, 2015.
[9]	ROY S and SHYNK J. Analysis of the data-reusing LMS algorithm[C]. The Thirty-Second Midwest Symposium on Circuits and Systems, Champaign, IL, USA, 1989: 1127-1130. doi: 10.1109/MWSCAS.1989.102053.
[10]	SCHNAUFER B A and JENKINS W K. New data-reusing LMS algorithms for improved convergence[C]. The Twenty- Seventh Asilomar Conference on Signals, Systems and Computers, California, USA, 1993: 1584-1588. doi: 10.1109/ ACSSC.1993.342346.
[11]	SONI R, GALLIVAN K, and JENKINS W. Low-complexity data reusing methods in adaptive filtering[J]. IEEE Transactions on Signal Processing, 2004, 52(2): 394-405. doi: 10.1109/TSP.2003.821338.
[12]	许华. 短时突发信号的盲处理技术研究[D]. [博士论文], 解放军信息工程大学, 2005.
	XU Hua. Blind equalization techniques on short burst signals [D]. [Ph.D. dissertation], Information Engineering University of PLA, 2005.
[13]	GODARD D N. Self-recovering equalization and carrier tracking in two-dimensional data communication systems[J]. IEEE Transactions on Communications, 1980, 28(11): 1867-1875. doi: 10.1109/TCOM.1980.1094608.
[14]	廖灿辉, 涂世龙, 万坚. 一种抗频偏的卫星幅相调制信号识别算法[J]. 电子与信息学报, 2014, 36(2): 346-352. doi: 10.3724/ SP.J.1146.2013.00512.
	LIAO Canhui, TU Shilong and WAN Jian. An anti- frequency-offset algorithm for modulation recognition of satellite amplitude-phase modulated signal[J]. Journal of Electronics & Information Technology, 2014, 36(2): 346-352. doi: 10.3724/SP.J.1146.2013.00512.
[15]	赵颖. 基于改进算法的调制信号的载波频率估计[J]. 电子设计工程, 2016, 24(6): 29-31. doi: 10.14022/j.cnki.dzsjgc.2016. 06.065.
	ZHAO Ying. Estimation of carrier frequency of modulation signal based on improved algorithm[J]. Electronic Design Engineering, 2016, 24(6): 29-31. doi: 10.14022/j.cnki.dzsjgc. 2016.06.065.