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一种适用于强脉冲噪声下的对数型恒模盲均衡算法
李彬,陈凯,喻俊浔,钟华,陈明亮
0
(国网江西省电力有限公司信息通信分公司,南昌 330077;燕山大学 电气工程学院,河北 秦皇岛 066004)
摘要:
针对脉冲噪声下恒模算法(Constant Modulus Algorithm,CMA)失败的问题,通过分析脉冲噪声的影响,提出了一种基于最小均方(Least Mean Square,LMS)准则的对数型恒模算法(Logarithmic-type CMA,LT-CMA)。LT-CMA利用对数函数的非线性变换特性自适应地抑制强脉冲噪声对误差函数的影响,并且利用l2-范数进行信号归一化处理以增强算法的稳健性。仿真结果表明,所提出的LT-CMA可以适应于高斯噪声环境和脉冲噪声环境;与经典自适应均衡算法相比,在收敛速度和稳健性两方面上,所提出的LT-CMA都有显著的提升。
关键词:  脉冲信道  脉冲噪声  自适应均衡  最小均方准则  对数型恒模算法
DOI:
基金项目:河北省自然科学基金项目(A2016206532,A2017203568)
A logarithmic-type constant modulus blind equalization algorithm for strong impulsive noise
LI Bin,CHEN Kai,YU Junxun,ZHONG Hua,CHEN Mingliang
(State Grid Jiangxi Information & Telecommunication Co.,Ltd.,Nanchang 330077,China;School of Electrical Engineering,Yanshan University,Qinhuangdao 066004,China)
Abstract:
For the failure of constant modulus algorithm(CMA) for impulse noise,a logarithmic-type CMA(LT-CMA) is proposed based on least mean square(LMS) error criterion after analyzing influence of the impulse noise. It takes advantage of the characteristic of nonlinear transformation of the logarithmic function to adaptively suppress impact of the impulse noise on error function. Also, it uses the l2-norm to normalize the signals in order to enhance its robustness. Simulation results show that the proposed LT-CMA not only adapts to Gaussian noise environment but also impulse noise environment. Compared with some classical adaptive algorithms, the proposed LT-CMA can achieve a great improvement in convergence speed and robustness.
Key words:  impulsive channel  impulsive noise  adaptive equalization  least mean square(LMS) criterion  logarithmic-type constant modulus algorithm(CMA)
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