Title :
Multichannel detection and spatial signature estimation with uncalibrated receivers
Author :
Leshem, Amir ; Van der Veen, Alle-Jan
Author_Institution :
Dept. Electr. Engineering/DIMES, Delft Univ. of Technol., Netherlands
fDate :
6/23/1905 12:00:00 AM
Abstract :
A problem occurring in radio astronomy is the detection and cancellation of spatially correlated interfering signals entering via the sidelobes of the telescopes in an array. A complicating factor is that the noise powers can be different at each telescope. For the case that the sensors are uncalibrated, we formulate the detection problem as a test on the covariance structure, state the GLRT for this problem, and relate it to a simpler ad-hoc detector. We derive algorithms to estimate the noise powers and the subspace of interferer signature vectors. Once the subspace is estimated, the interference can be projected out. We compare this method to the conventional multichannel subspace detector and show its robustness to non-identical channels on data collected with the Westerbork radio telescope
Keywords :
covariance matrices; interference suppression; maximum likelihood estimation; parameter estimation; radio receivers; radiotelescopes; signal detection; GLRT detector; MLE; Westerbork radio telescope; ad-hoc detector; algorithms; covariance matrix; covariance structure; multichannel detection; multichannel subspace detector; noise power estimation; radio astronomy; spatial signature estimation; spatially correlated interfering signals cancellation; spatially correlated interfering signals detection; subspace estimation; uncalibrated receivers; uncalibrated sensors; Additive noise; Covariance matrix; Detectors; Interference; Radar detection; Radio astronomy; Receivers; Sensor arrays; Telescopes; Testing;
Conference_Titel :
Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
Print_ISBN :
0-7803-7011-2
DOI :
10.1109/SSP.2001.955254