Title :
Source Enumeration via the EEF Criterion
Author :
Xu, Cuichun ; Kay, Steven
Author_Institution :
Dept. of Electr., Rhode Island Univ., Kingston, RI
fDate :
6/30/1905 12:00:00 AM
Abstract :
Recently, the exponentially embedded families (EEF) criterion for model order selection has been proposed based on the theories of exponentially embedded families and sufficient statistics. In this letter, it is proved that the EEF criterion is consistent, and then the EEF is used to determine the number of sources in array signal processing. Computer simulation results demonstrate better performance of the EEF criterion for closely spaced sources, at low SNR and/or a small number of snapshots.
Keywords :
array signal processing; EEF criterion; array signal processing; closely spaced sources; exponentially embedded families criterion; minimum description length criterion; model order selection; source enumeration; Array signal processing; Computer simulation; Helium; Matrix decomposition; Parameter estimation; Signal detection; Signal processing; Signal resolution; Statistics; Testing; Array signal processing; minimum description length; modeling; signal detection; signal resolution;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2008.2001112
