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 :
بازگشت