Near-field direction finding with a fuzzy neural network

Ching-Wen Ma; C. C. Teng

doi:10.1109/AFSS.1996.583596

Near-field direction finding with a fuzzy neural network

Ching-Wen Ma^*, C. C. Teng

^*Corresponding author for this work

Institute of Industrial Intelligence and Green Energy

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Pages	230-235
Number of pages	6
DOIs	https://doi.org/10.1109/AFSS.1996.583596
State	Published - 1996
Event	Proceedings of the 1996 Asian Fuzzy Systems Symposium - Kenting, Taiwan Duration: 11 Dec 1996 → 14 Dec 1996

Conference

Conference	Proceedings of the 1996 Asian Fuzzy Systems Symposium
City	Kenting, Taiwan
Period	11/12/96 → 14/12/96

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10.1109/AFSS.1996.583596

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title = "Near-field direction finding with a fuzzy neural network",

abstract = "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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year = "1996",

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AB - 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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Near-field direction finding with a fuzzy neural network

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