Constant modulus blind equalization based on fractional lower-order statistics
Constant modulus blind equalization based on fractional lower-order statistics
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DOI：
10.1016/j.sigpro.2004.01.006
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发表时间：
2004-05
期刊：
影响因子：
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通讯作者：
M. Rupi;P. Tsakalides;E. D. Re;C. Nikias
中科院分区：
文献类型：
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作者：
M. Rupi;P. Tsakalides;E. D. Re;C. Nikias
无线系统中非高斯环境信道噪声的存在会降低现有均衡器和信号检测器的性能。本文针对重尾噪声对原有恒模算法的负面影响，研究了噪声信道下的盲均衡问题。我们提出了一个新的CM标准采用分数低阶统计（FLOS）的均衡器输入。相关的FLOS-CM盲均衡器，基于随机梯度下降算法，能够减轻脉冲信道噪声，同时恢复发送的通信信号的恒模特性。我们进行了分析研究的锁定和捕获性能的建议的自适应滤波器，我们说明其改进的收敛行为和较低的误码率，通过计算机模拟与各种类型的噪声环境，包括高斯和α稳定。
The presence of non-Gaussian ambient channel noise in wireless systems can degrade the performance of existing equalizers and signal detectors. In this paper, we investigate the problem of blind equalization in noisy communication channels by addressing the negative effects of heavy-tailed noise to the original constant modulus algorithm (CMA). We propose a new CM criterion employing fractional lower-order statistics (FLOS) of the equalizer input. The associated FLOS-CM blind equalizer, based on a stochastic gradient descent algorithm, is able to mitigate impulsive channel noise while restoring the constant modulus character of the transmitted communication signal. We perform an analytic study of the lock and capture properties of the proposed adaptive filter and we illustrate its improved convergence behavior and lower bit error rate through computer simulations with various types of noise environments that include the Gaussian and the alpha-stable.