Title

Neural Network Processing For Adaptive Array Antennas

Abstract

Currently, several algorithms can be used to perform the direction finding or angle of arrival of signals from mobile users. One drawback of these algorithms is the difficulty of their implementation in real-time because of their intensive computational complexity. Neural networks, on the other hand, due to their high-speed computational capability, can yield results in real-time. Moreover, conventional beamformers require highly calibrated antennas with identical element properties. Performance degradation often occurs due to the fact that these algorithms poorly adapt to element failure or other sources of errors. Neural network-based array antennas do not suffer from this shortcoming.

Publication Date

1-1-1999

Publication Title

IEEE Antennas and Propagation Society International Symposium: Wireless Technologies and Information Networks, APS 1999 - Held in conjunction with USNC/URSI National Radio Science Meeting

Volume

4

Number of Pages

2584-2587

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/APS.1999.789337

Socpus ID

84951975289 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84951975289

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