Near-field direction finding with a fuzzy neural network

dc.citation.epage	235	en_US
dc.citation.spage	230	en_US
dc.contributor.author	Ma, CW	en_US
dc.contributor.author	Teng, CC	en_US
dc.contributor.department	交大名義發表	zh_TW
dc.contributor.department	電控工程研究所	zh_TW
dc.contributor.department	National Chiao Tung University	en_US
dc.contributor.department	Institute of Electrical and Control Engineering	en_US
dc.date.accessioned	2014-12-08T15:27:41Z
dc.date.available	2014-12-08T15:27:41Z
dc.date.issued	1996	en_US
dc.description.abstract	The single-source near-field direction finding problem can be solved by a fuzzy nerual 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.	en_US
dc.identifier.isbn	0-7803-3687-9	en_US
dc.identifier.journal	SOFT COMPUTING IN INTELLIGENT SYSTEMS AND INFORMATION PROCESSING	en_US
dc.identifier.uri	https://ir.lib.nycu.edu.tw/handle/11536/19931
dc.identifier.wosnumber	WOS:A1996BH38J00039
dc.language.iso	en_US	en_US
dc.title	Near-field direction finding with a fuzzy neural network	en_US
dc.type	Proceedings Paper	en_US

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