Passive Detection of Rank-One Gaussian Signals for Known Channel Subspaces and Arbitrary Noise

This paper addresses the passive detection of a common signal in two multi-sensor arrays. For this problem, we derive a detector based on likelihood theory for the case of one-antenna transmitters, independent Gaussian noises with arbitrary spatial structure, Gaussian signals, and known channel subs...

Full description

Bibliographic Details

Published in:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 1 - 5
Main Authors:	Ramirez, D., Santamaria, I., Scharf, L. L.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 04.06.2023
Subjects:	Channel estimation Detectors Generalized likelihood ratio (GLR) hypothesis test Maximum likelihood detection Maximum likelihood estimation multi-sensor array passive radar Radar signal processing Surveillance Transmitting antennas
ISSN:	2379-190X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!