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Low-Complexity Iterative Adaptive Linearly Constrained Minimum Variance Beamformer

✍ Scribed by Guo, Xiansheng; Xu, Baogen; Rao, Zhongchu; Wan, Qun; Feng, Zhengming; Shen, Yijiang

Book ID
121434122
Publisher
Springer
Year
2013
Tongue
English
Weight
552 KB
Volume
33
Category
Article
ISSN
0278-081X

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This paper presents a neural network approach for beamforming and interference cancellation. A three-layer radial basis function neural network is trained with input᎐output pairs. The results obtained from this network are in excellent agreement with the Wiener solution. It was found that networks i