DocumentCode :
3529341
Title :
On the number of signals resolvable by an array
Author :
Piper, John E. ; Roberts, Rodney G.
Author_Institution :
NSWC, Panama City, FL, USA
fYear :
2010
fDate :
20-23 Sept. 2010
Firstpage :
1
Lastpage :
2
Abstract :
The Moore-Penrose inverse and the least-squares method are both used to determine the maximum number of signals that can be resolved by an array. Results indicate that in general n signals can be resolved using an n-element array. This is not in agreement with signal subspace methods that are limited to n-1 signals. It was also found that a good working definition for resolution in array processing is the ability to decouple or separate the signals in parameter space.
Keywords :
array signal processing; least squares approximations; signal resolution; source separation; Moore-Penrose inverse method; array signal processing; least-squares method; n-element array; signal resolution; signal separation; signal subspace method; Array signal processing; Arrays; Eigenvalues and eigenfunctions; Estimation; Mathematical model; Noise; Signal resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS 2010
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-4332-1
Type :
conf
DOI :
10.1109/OCEANS.2010.5664086
Filename :
5664086
Link To Document :
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