Title :
GLRT-based detection-estimation of Gaussian signals in under-sampled training conditions
Author :
Johnson, Ben A. ; Abramovich, Yuri I.
Author_Institution :
ISR Div., Univ. of South Australia (ITR), Edinburgh, SA, Australia
Abstract :
A likelihood ratio test has recently been developed for detection-estimation in under-sampled scenarios where the number of training data T is less than the number of antenna elements M. This test can be applied in a GLRT detection-estimation framework to many problems not satisfactorily addressed by conventional techniques. In particular, we consider under-sampled MUSIC “performance breakdown” phenomenon for independent sources, and use the under-sampled likelihood ratio to detect the presence of MUSIC outliers.
Keywords :
antenna arrays; signal classification; signal detection; GLRT-based detection-estimation; Gaussian signals; MUSIC outliers; antenna elements; generalized likelihood ratio test; independent sources; performance breakdown; under-sampled MUSIC; under-sampled scenarios; under-sampled training conditions; Antenna arrays; Arrays; Covariance matrices; Direction-of-arrival estimation; Electric breakdown; Multiple signal classification; Training;
Conference_Titel :
Signal Processing Conference, 2006 14th European
Conference_Location :
Florence