DocumentCode
1946799
Title
A Novel Source Number Estimator Without Complete Eigendecomposition
Author
Zhang, Qi ; Feng, Zheyun
Author_Institution
State Key Lab. on Microwave & Digital Commun., Tsinghua Univ., Beijing
Volume
4
fYear
2006
fDate
16-20 2006
Abstract
In this paper, we present another novel source number estimator without the complete eigendecomposition, it is based on the Lanczos process and Sturm algorithm. Finally, for the case of a uniform circular array of six isotropic sensors spaced a half wavelength apart with additive and uncorrelated white noise, we provide a simulated data example to evaluate the proposed estimator, which is proved to be very available
Keywords
array signal processing; matrix algebra; white noise; additive white noise; isotropic sensors; source number estimator; uncorrelated white noise; uniform circular array; Additive white noise; Array signal processing; Covariance matrix; Directive antennas; Eigenvalues and eigenfunctions; Radar antennas; Radar signal processing; Sensor arrays; Signal processing algorithms; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.345993
Filename
4129685
Link To Document