Spatial domain forward-backward predictor with second-order statistics for bearing estimation

Author

Sung, Chih-Yuan ; Chern, Shiunn-Jang

Author_Institution

Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan

fYear

1994

fDate

5-8 Dec 1994

Firstpage

394

Lastpage

399

Abstract

This paper deals with the problem of bearing estimation for narrow-band sources buried in additive white/colored Gaussian noises where the signal-to-noise ratio of interest is relatively small. To circumvent this problem, the MFBLP method with second-order statistics of linear array data is presented, and is referred to as the MFBLP-SOS method. Under the assumption that the additive noise is white Gaussian process, an analytical study of the MFBLP-SOS method is first developed. To further improve the performance, a modified MFBLP-SOS method is proposed. Finally, computer simulations are given to document the advantage of the MFBLP-SOS method of linear array data

Keywords

Gaussian noise; direction-of-arrival estimation; higher order statistics; prediction theory; white noise; MFBLP method; additive Gaussian noise; bearing estimation; computer simulations; linear array data; narrow-band sources; second-order statistics; signal-to-noise ratio; spatial domain forward-backward predictor; white Gaussian process; Additive noise; Array signal processing; Direction of arrival estimation; Gaussian noise; Geophysical signal processing; Narrowband; Radar signal processing; Sensor arrays; Signal to noise ratio; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1994. APCCAS '94., 1994 IEEE Asia-Pacific Conference on

Conference_Location

Taipei

Print_ISBN

0-7803-2440-4

Type

conf

DOI

10.1109/APCCAS.1994.514582

Filename

514582