基于模糊神经网络的近场测向

Ching-Wen Ma, C. Teng
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引用次数: 1

摘要

单源近场测向问题可以用模糊神经网络(FNN)来解决。该方法可以应用于任意结构的阵列。它也可以用于实时跟踪应用程序。当阵列为等间距线性时,特别是当阵列法线方向与源方向夹角较大、阵列中心距源较近时,该方法优于远场近似法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Near-field direction finding with a fuzzy neural network
The single-source near-field direction finding problem can be solved by a fuzzy neural network (FNN). The FNN approach can be applied to arrays with arbitrary configurations. It can also be implemented for real-time tracking applications. The approach outperforms the far-field approximation (FFA) approach when the array is uniformly-spaced and linear, especially when the angle between the array normal direction and the source direction is large and the distance from array center to the source is short.
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