Array antenna applications for neural beamforming

Author

Southall, Hugh L.

Author_Institution

USAF Rome Lab., Hanscom AFB, MA, USA

Volume

1

fYear

1996

fDate

3-6 Nov. 1996

Firstpage

40

Abstract

This paper is a summary of our research on applying neural network based signal processing to array antenna problems which we call neural beamforming. The objective is to train the network at certain training angles within the antenna field of view so that it can perform the desired antenna function with arrays which cost less to manufacture. We are also concerned with array operation in adverse environments (e.g., near field scattering). Our research has experimentally demonstrated the proof of concept for neural beamforming by implementing three antenna functions: direction finding (DF); radar detection; and, beamsteering.

Keywords

adaptive antenna arrays; antenna phased arrays; array signal processing; direction-of-arrival estimation; electromagnetic wave scattering; feedforward neural nets; learning (artificial intelligence); neural net architecture; radar antennas; radar detection; radio direction-finding; adverse environments; antenna field of view; antenna functions; array antenna applications; beamsteering; direction finding; near field scattering; neural beamformer architecture; neural beamforming; neural network based signal processing; neural network training; radar detection; radial basis function; research; training angles; Antenna arrays; Antenna measurements; Array signal processing; Artificial neural networks; Data preprocessing; Manufacturing; Neural networks; Phase measurement; Phased arrays; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-7646-9

Type

conf

DOI

10.1109/ACSSC.1996.600813

Filename

600813