DocumentCode :
865621
Title :
Broadband source tracking using adaptive directional filter with maximally flat responses at null directions
Author :
Chin, Francois-P S. ; Ko, Chi Chung
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
Volume :
44
Issue :
4
fYear :
1996
fDate :
4/1/1996 12:00:00 AM
Firstpage :
862
Lastpage :
873
Abstract :
A new algorithm for the tracking of broadband sources in linear arrays employing tapped delay line processing is presented and investigated. Using this technique, each broadband source is individually tracked in a time-multiplexed manner by steering a broadband null formed from the use of a tapped delay line filter whose weights are constrained to have a maximally flat frequency response at the nulling direction. To ensure that the other nulls are not changed while a particular null is being adjusted, a beamformer is employed to preprocess the element signals before adaptive processing. Since the new algorithm updates only one tapped delay line filter at any instant, the overall implementation complexity of the proposed algorithm is comparable with using the LMS algorithm directly on a broadband array. However, unlike the latter algorithm, the convergence behavior of the new algorithm is significantly faster and is almost independent of the external noise environment
Keywords :
adaptive antenna arrays; adaptive filters; adaptive signal processing; convergence of numerical methods; delay lines; filtering theory; frequency response; least mean squares methods; linear antenna arrays; tracking filters; LMS algorithm; adaptive directional filter; adaptive processing; algorithm; beamformer; broadband array; broadband null steering; broadband source tracking; convergence; external noise environment; filter weights; implementation complexity; linear arrays; maximally flat responses; null directions; tapped delay line filter; tapped delay line processing; time multiplexing; Adaptive filters; Convergence; Covariance matrix; Delay lines; Direction of arrival estimation; Frequency estimation; Least squares approximation; Sensor arrays; Signal processing; Working environment noise;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.492539
Filename :
492539
Link To Document :
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