Title :
Resolution of a neural network direction finding array
Author_Institution :
Rome Lab., Hanscom AFB, MA, USA
Abstract :
We have developed neural network based signal processing techniques for array antennas. The objective is to train the network at angles within the antenna field of view to perform the desired antenna function with arrays which cost less to manufacture. We show that the direction finding resolution increases with larger array apertures the same way it does for a conventional RF beamformer.
Keywords :
array signal processing; direction-of-arrival estimation; feedforward neural nets; learning (artificial intelligence); signal resolution; RF beamformer; angles of arrival; antenna field of view; array antennas; direction finding resolution; neural network based signal processing; neural network direction finding array; neural network training; radial basis function; Antenna arrays; Antenna measurements; Array signal processing; Artificial neural networks; Butler matrix; Electromagnetics; Laboratories; Neural networks; Phased arrays; Signal resolution;
Conference_Titel :
Antennas and Propagation Society International Symposium, 1997. IEEE., 1997 Digest
Conference_Location :
Montreal, Quebec, Canada
Print_ISBN :
0-7803-4178-3
DOI :
10.1109/APS.1997.631727
