Title :
Signal detection in strong low rank compound-Gaussian interference
Author :
Rangaswamy, Muralidhar ; Kirsteins, Ivars P. ; Freburger, B.E. ; Tufts, Donald W.
Author_Institution :
ARCON Corp., Waltham, MA, USA
Abstract :
This paper presents the performance of the principal components inverse (PCI) method in compound-Gaussian interference. The impact of increased subspace perturbation on PCI performance and the issue of increased training data support are addressed
Keywords :
Gaussian noise; interference (signal); principal component analysis; signal detection; PCI performance; principal components inverse method; signal detection; strong low rank compound-Gaussian interference; subspace perturbation; training data support; Contracts; Gaussian processes; Interference; Noise reduction; Radar clutter; Rivers; Shape; Signal detection; Sonar; Training data;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop. 2000. Proceedings of the 2000 IEEE
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-6339-6
DOI :
10.1109/SAM.2000.877986
