Near-field direction finding with a fuzzy neural network

Ching-Wen Ma*, C. C. Teng

*此作品的通信作者

研究成果同行評審

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁面230-235
頁數6
DOIs
出版狀態Published - 1996
事件Proceedings of the 1996 Asian Fuzzy Systems Symposium - Kenting, Taiwan
持續時間: 11 12月 199614 12月 1996

Conference

ConferenceProceedings of the 1996 Asian Fuzzy Systems Symposium
城市Kenting, Taiwan
期間11/12/9614/12/96

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