Conference
Maximum likelihood estimation for direction of arrival using a nonlinear optimising neural network
Abstract
A neural network-based system for a maximum-likelihood estimation of directions of arrival is described. A novel analog neural network implementation of the maximum-likelihood algorithm is presented. Properties of the neural network are discussed with respect to stability and convergence. The performance and behavioral simulations of the network's dynamics are presented. The results show significant improvement over traditional …
Authors
Jelonek TM; Reilly JP
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/ijcnn.1990.137578
Name of conference
1990 IJCNN International Joint Conference on Neural Networks