DocumentCode
998457
Title
Novel DORT Method in Non-Well-Resolved Scatterer Case
Author
Nguyen, Dinh-Quy ; Gan, Woon-Seng
Author_Institution
Digital Signal Process. Lab., Nanyang Technol. Univ., Singapore
Volume
15
fYear
2008
fDate
6/30/1905 12:00:00 AM
Firstpage
705
Lastpage
708
Abstract
The decomposition of time reversal operator (DORT) method is an efficient technique to select focusing signal on the target in well-resolved scatterer case. The DORT method requires the measurement of the inter-element impulse responses and diagonalizes these responses to find eigenstructure of the medium. However, the DORT method is not able to produce satisfactory result for non-well-resolved scatterer case (i.e., two scatterers that are placed closely about 0.2lambda). Therefore, in this letter, a weighted least squares (WLS) algorithm is introduced in the DORT method to perform selective focusing in non-well-resolved scatterer case. This technique called the WLS-DORT method performs better spatial focusing resolution than the conventional DORT method and results in simpler computational complexity than the minimum variance beamforming method under practical implementation.
Keywords
acoustic signal processing; acoustic wave scattering; computational complexity; eigenvalues and eigenfunctions; least squares approximations; transient response; DORT method; computational complexity; eigenstructure; inter-element impulse responses; minimum variance beamforming method; nonwell resolved scatterer case; time reversal operator method; weighted least squares algorithm; Acoustic scattering; Acoustic waves; Array signal processing; Computational complexity; Eigenvalues and eigenfunctions; Gallium nitride; Least squares methods; Signal processing algorithms; Spatial resolution; Transmission line measurements; Acoustic communication; selective focusing; time reversal; weighted least squares;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2008.2001822
Filename
4682547
Link To Document