DocumentCode
3246387
Title
Estimating the direction of arrival at low signal to noise ratios using the principal-component-Burg cascaded system
Author
Rao, Sathyanarayan S. ; Raghavan, K.R. ; Moorkerjee
Author_Institution
Dept. of Electr. Eng., Villanova Univ., PA, USA
fYear
1989
fDate
0-0 1989
Firstpage
47
Lastpage
50
Abstract
The problem of estimating the direction of arrival (DOA) of plane waves is considered. The principal component (PC) method has a threshold of 7 dB, below which the mean square error is too large for the estimate to be considered reliable. The PC method is cascaded with the Burg algorithm (BA) to yield estimates of DOAs at signal-to-noise ratios (SNRs) as low as -5 dB. For a single source, this cascading yields an almost unbiased estimated with a very small variance. What makes this method more attractive is the fact that only one snapshot is used for the simulations. The method works in general and requires the solution to a set of second-degree equations. This method appears to be very attractive under adverse SNR conditions and if small number of snapshots are available.<>
Keywords
signal detection; signal processing; adverse SNR conditions; direction of arrival; low signal to noise ratios; mean square error; plane waves; principal-component-Burg cascaded system; single source; unbiased estimated; Signal detection; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Engineering, 1989., IEEE International Conference on
Conference_Location
Fairborn, OH, USA
Type
conf
DOI
10.1109/ICSYSE.1989.48617
Filename
48617
Link To Document