DocumentCode :
358407
Title :
The properties of adaptive algorithms with time varying weights
Author :
Zatman, Michael
Author_Institution :
Lincoln Lab., MIT, Lexington, MA, USA
fYear :
2000
fDate :
2000
Firstpage :
82
Lastpage :
86
Abstract :
Most adaptive array processing schemes assume that the interference is `wide sense stationary´. However, in practice this assumption is often violated. For example there may be motion of either the array and/or the interference during the processing interval. The asymptotic performance of two adaptive beamforming algorithms which compensate for this type of changing interference scenario are analyzed in this paper
Keywords :
adaptive signal processing; array signal processing; interference suppression; interpolation; adaptive algorithms; adaptive array processing; adaptive beamforming; asymptotic performance; linear interpolation weight performance; time varying weights; wide sense stationary interference; Adaptive algorithm; Adaptive arrays; Algorithm design and analysis; Array signal processing; Covariance matrix; Interference; Laboratories; Performance analysis; Signal to noise ratio; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop. 2000. Proceedings of the 2000 IEEE
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-6339-6
Type :
conf
DOI :
10.1109/SAM.2000.877973
Filename :
877973
Link To Document :
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