Title :
Array processing with neural networks for estimation of near-field source position
Author :
Fujii, S. ; Manabe, T.
Author_Institution :
ATR Opt. & Radio Commun. Res. Lab., Kyoto, Japan
Abstract :
The authors propose an implementation method of a neural network for an estimation problem of near-field source positions. This method can estimate not only the positions but also the power of the sources. Its resolving power is higher than that of the backward propagation method. In comparison with the maximum entropy method, the present method can estimate source positions in noisier environments. Simulation results are presented.<>
Keywords :
neural nets; signal processing; array processing; near-field source position estimation; neural network; resolving power; sensor array; simulation results; Additive noise; Array signal processing; Artificial neural networks; Covariance matrix; Minimization; Neural networks; Neurons; Optical sensors; Radio communication; Sensor arrays;
Conference_Titel :
Antennas and Propagation Society International Symposium, 1991. AP-S. Digest
Conference_Location :
London, Ontario, Canada
Print_ISBN :
0-7803-0144-7
DOI :
10.1109/APS.1991.174856
