基于人工神经网络的自适应天线波束形成阵列

Workshop on Neural Network Applications and Tools Pub Date : 1993-09-13 DOI:10.1109/NNAT.1993.586046

P. Wells, P.C.J. Hill

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引用次数: 1

摘要

无线电信号对天线阵列的调峰角(AOA)的估计目前是由经典的频谱、参数或特征分解技术确定的[I]，神经网络可以提供一种替代的逆处理解决方案，允许直接从接收到的信号数据确定AOA。此外，适当修改的分层网络实际上可以完全消除对重量训练的需要。

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Adaptive Antenna Beamforming Arrays Using Artificial Neural Networks

Estimation of the angle of am'val (AOA) of radio signals to an antenna array is currently determined by classical spectral, paramehic or eigen-decomposition techniques [ I ] , Neural networks can provide an alternative inverse processing solution allowing the AOA to be determined directly from the received signal data. Moreover, suitably modified layered networks can actually eliminate the need for weight training entirely .

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Workshop on Neural Network Applications and Tools

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