Adaptive Minimum Entropy Beamforming Algorithms for Narrowband Signals

被引：0

作者：

Ali, Anum ^{[1
]}

Abrar, Shafayat ^{[1
]}

机构：

[1] COMBATS Inst Informat Technol, Dept Elect Engn, Islamabad 44000, Pakistan

来源：

EMERGING TRENDS AND APPLICATIONS IN INFORMATION COMMUNICATION TECHNOLOGIES | 2012年 / 281卷

关键词：

Minimum entropy deconvolution; constant modulus algorithm; multi modulus algorithm; narrowband; adaptive beamforming; DECONVOLUTION; EQUALIZATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Blind beamforming has been studied extensively in recent times. Array signal processing is an effective technique for signal extraction in communication systems. We employ minimum entropy deconvolution(MED) principle for source extraction. Results are shown which indicate good performance in comparison with conventional adaptive algorithms like the constant modulus algorithm and the multi-modulus algorithm.

引用

页码：62 / 72

页数：11

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