逐幸存序列算法引导的快速盲均衡算法

doi:10.3969/j.issn.1001-2400.2013.02.032

J4 ›› 2013, Vol. 40 ›› Issue (2): 201-206.doi: 10.3969/j.issn.1001-2400.2013.02.032

• Original Articles • Previous Articles Next Articles

Fast blind equalization algorithm based on PSP

ZHAO Liang^1,2;WANG Chunmei³;SUN Hongbo³

(1. Aerospace and Materials Eng. College of National Univ. of Defense Tech., Changsha 410073， China;
2. Lab. of Science and Tech. on Space Physics Tech., Beijing 100076， China;
3. Dept. of Electronic Eng., Shanghai Normal Univ., Shanghai 200234， China)

Received:2012-10-01 Online:2013-04-20 Published:2013-05-22
Contact: ZHAO Liang E-mail:imu-zhl@163.com

Abstract

Abstract:

The usage of conventional blind equalization algorithm is limited in the application of burst signal communication due to its dissatisfaction of fast equalization. Per-survivor processing (PSP) exhibits good performance of channel-tracking and solves the problem of decision delay, but it increases the computational complexity. In this paper, PSP is applied to realize the fast tracking of the channel parameter and the coefficients of the linear equalizer are obtained by combining the inverse non-minimum phase with FIR approximation methods. Then this algorithm may be switched over to DD-LMS to achieve fast blind equalization. Simulation results indicate that the algorithm is valid for the application of blind equalization in burst signal communication.

Key words: fast blind equalization, PSP, inverse non-minimum phase, FIR approximation, DD-LMS

CLC Number:

TN911.7

ZHAO Liang;WANG Chunmei;SUN Hongbo. Fast blind equalization algorithm based on PSP[J].J4, 2013, 40(2): 201-206.

References

［1］刘世刚, 葛临东. 正反向数据重用短突发信号CMA 盲均衡［J］. 通信技术, 2008, 41(5): 18-20.
Liu Shigang, Ge Lindong. Blind Equalization for Short Burst Signal Using a Forward and Backward Data-reusing CMA-based Algorithm ［J］. Communications Technology, 2008, 41(5): 18-20.
［2］ Raheli R, Polydoros A, Tzou C K. Per-Survivor Processing: a General Approach to MLSE in Uncertain Environments ［J］. IEEE Trans on Communications, 1995, (43): 354-364.
［3］ Heon H, Krogmeier J V. Frame Synchronization of Coded Modulations in Time-Varying Channels via Per-Survivor Processing ［J］. IEEE Trans on Communications, 2011, (59): 2665-2670.
［4］ Safari N, Vahlin A, Lund S A. Low Complexity Implementation of Per-survivor Processing for Carrier-phase Tracking in Uncertain Environments ［C］//Proc of IEEE International Symposium on Radio and Wireless (RWS). Santa Clara: 2012: 195-198.
［5］ Warisarn C, Supnithi P. Reduced-complexity Modified Per-survivor Iterative Timing Recovery Using M-algorithm for Magnetic Recording System ［C］//Proc of 19th International Symposium on Intelligent Signal Processing and Communications Systems. Chiang Mai: 2011: 1-4.
［6］ Weerackody V, Kassam S A. Dual-mode Type Algorithms for Blind Equalization ［J］. IEEE Trans on Communications, 1994, (42): 22-28.
［7］ Godard D. Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems ［J］. IEEE Trans on Communications, 1980, (28): 1867-1875.
［8］宁小玲, 刘忠, 罗亚松, 等. 一种改进的水声信道载波恢复盲均衡算法［J］. 西安电子科技大学学报, 2012, 39(1): 151-156.
Ning Xiaoling, Liu Zhong, Luo Yasong, et al. Improved Supper-Exponential Iteration Blind Equalization Algorithm for Carrier Phase Recovery in Underwater Acoustic Channels ［J］. Journal of Xidian University, 2012, 39(1): 151-156.
［9］ Konishi K, Furukawa T. A Reweighted Least Squares Approach to QAM Detector for Blind Equalization ［J］. Signal Processing Letters, 2011, (18): 259-262.
［10］ Abrar S, Nandi A. Blind Equalization of Square-QAM Signals: a Multimodulus Approach ［J］. IEEE Trans on Communications, 2010, (58): 1674-1685.
［11］ Chugg K M, Polydoros A. MLSE for an Unknown Channel Ⅱ: Tracking Performance ［J］. IEEE Trans on Communications, 1996, (44): 949-958.
［12］ Abreu E, Mitra S K, Marchesani R. Nonminimum Phase Channel Equalization Using Noncausal Filters ［J］. IEEE Trans on Signal Processing, 1997, (45): 1-13.
［13］ Zhang L, Cichocki A, Amari S. Multichannel Blind Deconvolution of Nonminimum-phase Systems Using Filter Decomposition ［J］. IEEE Trans on Signal Processing, 2004, (52): 1430-1442.
［14］ Guo R, Wang L, DeBrunner L S. A Novel FIR Filter Implementation Using Truncated MCM Technique ［C］//Proc of Forty-Third Asilomar Conference on Signals, Systems and Computers. Pacific Grove: Conference Record, 2009: 718-722.
［15］凌琳, 陆佩忠. 含软方向判决的修正CMA盲均衡新算法［J］. 通信学报, 2005, 26(12): 75-80.
Ling Lin, Lu Peizhong. Soft Decision-directed Modified Constant Modulus Algorithm ［J］. Joamal on Communication, 2005, 26(12): 75-80.

Fast blind equalization algorithm based on PSP

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 1

Metrics

Comments

Recommended 0