Title :
A neural network for direction finding in array processing
Author :
Yang, Jiankan ; Wu, Qiang ; Reilly, James P.
Author_Institution :
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
Abstract :
In array processing, the direction-of-arrival (DOA) estimation problem can be solved by the nonlinear least-squares method. However, this method has two problems: the complexity of computation and the global convergence of the numerical algorithm. A simple neural network structure is presented to reduce the computational complexity, and a simulated annealing structure is proposed in order to solve the global convergence problem
Keywords :
array signal processing; convergence; least squares approximations; neural nets; simulated annealing; array processing; direction finding; direction of arrival estimation; global convergence; neural network; nonlinear least-squares method; numerical algorithm; simulated annealing structure; Analog computers; Array signal processing; Computer networks; Convergence; Differential equations; Direction of arrival estimation; Integrated circuit noise; Intelligent networks; Neural networks; Nonlinear equations;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226057
