用相互连接的神经元样元件处理阵列信号

R. Rastogi, P. Gupta, R. Kumaresan
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引用次数: 45

摘要

从传感器阵列观测到的数据中估计平面波到达的角度是通过一个由相互连接的、瞬时的、饱和的非线性元素(称为神经元)组成的网络来完成的。网络使用观察到的数据来决定在大量假设的到达角度中哪一个最适合数据。还指出了这种网络的一种可能的随机数字实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Array signal processing with interconnected Neuron-like elements
Estimation of angles of arrival of plane waves from data observed at an array of sensors is performed with a network of interconnected, instantaneous, saturating non-linear elements called neurons. The networks use the observed data to decide which among a large number of hypothesized angles of arrivals best fits the data. A possible stochastic-digital implementation of such a network is also indicated.
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