Title :
Low rank detection of multichannel Gaussian signals using a constrained inverse
Author_Institution :
Fachhochschule Furtwangen, Germany
Abstract :
A constructive procedure for the design of low rank detectors in the multichannel case of Gaussian detection of known transient signals in noise is described. These detectors consist of two consecutive blocks: a data and noise dependent “compression stage” which maps the significant signal energy into a subspace of minimal dimension followed by a minimal set of subspace matched filters which point in the directions in which the signal is much stronger than the noise
Keywords :
Gaussian noise; array signal processing; covariance matrices; filtering theory; matched filters; signal detection; transients; Gaussian detection; Gaussian noise; array signal processing; compression stage; constrained inverse; low rank detection; low rank detectors; multichannel Gaussian signals; noise covariance block matrix; sensor arrays; signal energy; subspace matched filters; transient signals; Concatenated codes; Covariance matrix; Data acquisition; Detectors; Equations; Gaussian noise; Matched filters; Sensor arrays; Vectors; Working environment noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389830
