Title :
Array antenna applications for neural beamforming
Author :
Southall, Hugh L.
Author_Institution :
USAF Rome Lab., Hanscom AFB, MA, USA
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;
Conference_Titel :
Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7646-9
DOI :
10.1109/ACSSC.1996.600813
