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
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;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345993
