DocumentCode
1275698
Title
Focusing filters for wide-band direction finding
Author
Sivanand, S. ; Yang, Jar-Ferr ; Kaveh, M.
Author_Institution
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
Volume
39
Issue
2
fYear
1991
fDate
2/1/1991 12:00:00 AM
Firstpage
437
Lastpage
445
Abstract
A time-domain equivalent of the coherent signal-subspace transformations (CST) is established for wideband direction finding in a possible multipath environment using general arrays. Time-domain equivalents of focusing are derived based on the least squared error approach for general transformations, and the Taylor series expansion approach for closed-form transformations. The preprocessor is realized by a multichannel digital finite impulse response filter. For diagonal transformations, the problem reduces to implementing different delays at each sensor, which in turn leads to computational simplicity. Various tapped delay line filters for realizing an arbitrary delay are proposed and compared. Simulation results reveal that low-order filter structures in the time domain achieve similar performance to the frequency domain approach, even at detection and resolution thresholds
Keywords
filtering and prediction theory; signal processing; time-domain synthesis; CST; FIR filter; Taylor series expansion; arbitrary delay; array processing; closed-form transformations; coherent signal-subspace transformations; computational simplicity; detection threshold; diagonal transformations; focusing filters; frequency domain; general arrays; general transformations; least squared error approach; low-order filter structures; multichannel digital finite impulse response filter; multipath environment; preprocessor; resolution thresholds; signal processing; tapped delay line filters; time-domain equivalent; wide-band direction finding; Delay lines; Finite impulse response filter; Frequency domain analysis; Frequency estimation; Magnetic separation; Narrowband; Sensor arrays; Signal processing; Taylor series; Wideband;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.80827
Filename
80827
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