An eigenanalysis interference canceler

Eigenanalysis methods are applied to interference cancellation problems. While with common array processing methods the cancellation is effected by global optimization procedures that include the interferences and the background noise, the proposed technique focuses on the interferences only, result...

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Bibliographic Details
Published in:IEEE transactions on signal processing 1991-01, Vol.39 (1), p.76-84
Main Authors: Haimovich, A.M., Bar-Ness, Y.
Format: Article
Language:English
Subjects:
Array signal processing
Background noise
Direction of arrival estimation
Interference cancellation
Jamming
Noise cancellation
Optimization methods
Sensor arrays
Signal to noise ratio
Steady-state
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Summary:Eigenanalysis methods are applied to interference cancellation problems. While with common array processing methods the cancellation is effected by global optimization procedures that include the interferences and the background noise, the proposed technique focuses on the interferences only, resulting in superior cancellation performance. Furthermore, the method achieves full effectiveness even for short observation times, when the number of samples used for processing is of the the order of the number of interferences. Adaptive implementation is obtained with a simple, fast converging algorithm.< >
ISSN:1053-587X
1941-0476
DOI:10.1109/78.80767