DocumentCode
1180486
Title
Wavefield modeling and array processing .II. Algorithms
Author
Doron, Miriam A. ; Doron, Eyal
Author_Institution
RAFAEL, Haifa, Israel
Volume
42
Issue
10
fYear
1994
fDate
10/1/1994 12:00:00 AM
Firstpage
2560
Lastpage
2570
Abstract
For pt.I see ibid. vol.42, no.10, p.2549, 1994. We present several novel algorithms for array processing, as well as extensions of existing methods based on this approach. We first consider the problem of localization of wideband sources via coherent processing, and show how wavefield modeling enables us to derive expressions for the frequency transformation (focusing) matrices. This method is extended to three dimensions and to sector processing. We then develop computationally efficient implementations of MUSIC and Root-MUSIC for the narrowband and the coherent and incoherent wideband cases, as well as a natural extension of Root-MUSIC to any 2-D array. In addition, wavefield modeling allows us for the first time to extend Root-MUSIC to 3-D arrays and wavefields. We also present a low complexity variant of Root-MUSIC for direction finding within a limited angular sector. Finally, we derive a low-dimensional sufficient statistic and reduced rank processing schemes for the case of oversampled arrays and/or limited angular sector scenarios
Keywords
array signal processing; matrix algebra; 2-D array; 3-D arrays; 3-D wavefields; MUSIC; algorithms; array processing; coherent processing; coherent wideband Root-MUSIC; covariance matrix; direction finding; focusing matrices; frequency transformation; limited angular sector; oversampled arrays; reduced rank processing; sector processing; sufficient statistic; wavefield modeling; wideband sources localization; Ambient intelligence; Array signal processing; Covariance matrix; Frequency; Interpolation; Multiple signal classification; Narrowband; Sampling methods; Statistics; Wideband;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.324723
Filename
324723
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