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Fuzzy neural network approach for 2-D direction finding in multipath environments

dc.citation.epage83en_US
dc.citation.issue2en_US
dc.citation.spage78en_US
dc.citation.volume146en_US
dc.citation.woscount1
dc.contributor.authorMa, CWen_US
dc.contributor.authorTeng, CCen_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.date.accessioned2014-12-08T15:46:44Z
dc.date.available2014-12-08T15:46:44Z
dc.date.issued1999-04-01en_US
dc.description.abstractA fuzzy neural network (FNN) approach for estimating the two-dimensional (2-D) direction of a radiating source in coherent multipath environments via a 2-D passive sensor array is presented. Outputs of the array are preprocessed by a judiciously constructed reference-point preprocessing scheme to produce proper inputs for an FNN. The FNN then uses these preprocessed outputs to produce the estimate of the source direction. Since the preprocessed outputs preserve enough information about the source direction and the FNN maps the preprocessed outputs into the source direction with high accuracy, the FNN approach exhibits good estimation performance. By computer simulations, it is found that the FNN approach drastically outperforms the spatial smoothing 2-D MUSIC algorithm.en_US
dc.identifier.doi10.1049/ip-rsn:19990258en_US
dc.identifier.issn1350-2395en_US
dc.identifier.journalIEE PROCEEDINGS-RADAR SONAR AND NAVIGATIONen_US
dc.identifier.urihttp://dx.doi.org/10.1049/ip-rsn:19990258en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/31425
dc.identifier.wosnumberWOS:000081311100002
dc.language.isoen_USen_US
dc.titleFuzzy neural network approach for 2-D direction finding in multipath environmentsen_US
dc.typeArticleen_US

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