电子学报 ›› 2013, Vol. 41 ›› Issue (7): 1284-1289.DOI: 10.3969/j.issn.0372-2112.2013.07.007

• 学术论文 • 上一篇    下一篇

多径衰落环境中具有调制识别能力的盲均衡新算法

饶伟   

  1. 南昌工程学院, 江西南昌 330099
  • 收稿日期:2012-07-18 修回日期:2012-11-19 出版日期:2013-07-25
    • 作者简介:
    • 饶伟 男,1982年4月出生,江西抚州人,分别于2003年和2007年在安徽理工大学获得工学学士和工学硕士学位.现在南昌工程学院任讲师.主要从事通信信号处理、智能信息处理等方面的研究工作.E-mail:rao_wei@163.com
    • 基金资助:
    • 国家自然科学基金 (No.61102022); 江西省教育厅自然科学基金 (No.GJJ12635); 南昌工程学院青年基金 (No.2012KJ023,No.2012KJ019)

New Blind Equalization Algorithm with Ability of Modulation Classification Under the Condition of Multipath Propagation

RAO Wei   

  1. Nanchang Institute of Technology, Nanchang, Jiangxi 330099, China
  • Received:2012-07-18 Revised:2012-11-19 Online:2013-07-25 Published:2013-07-25
    • Supported by:
    • National Natural Science Foundation of China (No.61102022); Natural Science Foundation of Education Department of Jiangxi Province (No.GJJ12635); Youth Foudation of Nanchang Institute of Technology (No.2012KJ023, No.2012KJ019)

摘要: 常数模盲均衡算法在对非常模信号进行均衡时稳态均方误差不能收敛至零,且不具备信号调制识别能力.因此,依照常数模算法代价函数的构造方法定义了一种余弦代价函数,提出了基于该代价函数的盲均衡新算法.该余弦代价函数可将BPSK、M-PAM、M-QAM信号的不同星座点映射至原点,从而使新算法在对上述常模或非常模信号进行均衡时稳态均方误差均能收敛至零,更重要的是新算法能够在多径衰落环境下实现对上述信号的调制识别.理论分析和仿真结果证明了新算法的优良性能.

关键词: 盲均衡, 多径衰落, 调制识别, 常数模算法, 余弦代价函数

Abstract: For nonconstant modulus signals,the steady-state mean square error(MSE)of constant modulus algorithm(CMA)for blind equalization can not converge to zero and CMA can not achieve modulation classification.According to the construction method for CMA's cost function,a cosine cost function is defined and a new blind equalization algorithm based on it is proposed.Such cost function can take all the constellation points of BPSK,M-PAM and M-QAM signals mapped to the origin of constellation diagram,so the steady-state MSE of the proposed algorithm can converge to zero for both of constant modulus and nonconstant modulus signals.Furthermore,for above signals the proposed algorithm has the modulation classification ability under the condition of multipath propagation.Theoretic analysis and computer simulation results demonstrate that the proposed algorithm offers high performance.

Key words: blind equalization, multipath propagation, modulation classification, constant modulus algorithm, cosine cost function

中图分类号: