The performance of neural network for high resolution direction-of-arrival estimation

Author

Wang, Y.M. ; Ma, Y.L.

Author_Institution

Inst. of Acoust. Eng., Northwestern Polytech. Univ., Shaanxi, China

fYear

1991

fDate

16-17 Jun 1991

Firstpage

301

Abstract

Neural network (NN) method for DOA estimation, recently suggested by Y.L. Ma et al. (1990), is a novel approach. It circumvents problems encountered in DOA estimation efficiently, especially for fully correlated signals. Asymptotically the algorithm has been shown to yield unbiased estimates (the standard deviation of the estimate error approaches the CR bound). This paper gives an analysis of the performance of the NN method, comparing it with eigenstructure algorithm (MUSIC). The article introduces certain measures to characterise its performance. Results of computer simulations are also presented

Keywords

neural nets; parameter estimation; signal processing; NN method; computer simulations; eigenstructure algorithm; fully correlated signals; high resolution direction-of-arrival estimation; neural network; unbiased estimates; Algorithm design and analysis; Chromium; Computer errors; Computer simulation; Direction of arrival estimation; Multiple signal classification; Neural networks; Performance analysis; Signal resolution; Yield estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on

Conference_Location

Shenzhen

Type

conf

DOI

10.1109/CICCAS.1991.184345

Filename

184345