Neural methods for antenna array signal processing: A review

被引：65
作者：
Du, KL [1 ]
Lai, AKY [1 ]
Cheng, KKM [1 ]
Swamy, MNS [1 ]
机构：
[1] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H3G 1M8, Canada
来源：
SIGNAL PROCESSING | 2002年 / 82卷 / 04期
基金：
加拿大自然科学与工程研究理事会;
关键词：
software radio; beamforming; smart antenna; direction-of-arrival; multi-layer perceptron; backpropagation; Hopfield network; radial basis function network; principal component analysis; cross-relation network; antenna array signal processing; fuzzy neural network;
D O I：
10.1016/S0165-1684(01)00185-2
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The neural method is a powerful nonlinear adaptive approach in various signal-processing scenarios. It is especially suitable for real-time application and hardware implementation. In this paper, we review its application in antenna array signal processing. This paper also serves as a tutorial to the neural method for antenna array signal processing. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：547 / 561
页数：15
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