DocumentCode :
1026354
Title :
Performance comparison of high resolution bearing estimation algorithms using simulated and sea test data
Author :
Steele, A.K. ; Byrne, C.L. ; Riley, John L. ; Swift, Melinda
Author_Institution :
Maritime Oper. Div., Defence Sci. & Technol. Organ., Salisbury, SA, Australia
Volume :
18
Issue :
4
fYear :
1993
fDate :
10/1/1993 12:00:00 AM
Firstpage :
438
Lastpage :
446
Abstract :
The performance of both the Capon and the MUSIC high resolution bearing estimation algorithms is investigated using both simulated data and sea test data collected with an experimental planar array. The major problem with these estimators is their sensitivity to both system errors and deviations from the assumed noise model. To alleviate this problem, two methods for preprocessing the data before they are input into the high-resolution algorithm are investigated: beam space and sector focused stability. The performance of both high-resolution estimators is examined, using both types of preprocessing, and the results are compared with those for the standard element-space (ES) techniques, assuming both finite cross-spectral-matrix (CSM) averaging errors and weakening target strengths. For the Capon estimator the performance is only superior to the standard element space technique when the CSM is calculated using a small number of averages. For the MUSIC estimator, both preprocessing techniques give clearly superior results over standard space techniques, with the SFS preprocessor performing the best
Keywords :
acoustic signal processing; acoustic transducers; array signal processing; eigenvalues and eigenfunctions; sensitivity; underwater sound; Capon high resolution bearing estimation algorithms; MUSIC high resolution bearing estimation algorithms; acoustic sensor array data processing; beam space; data preprocessing; finite cross-spectral-matrix averaging errors; high resolution bearing estimation algorithms; noise model; planar array; sea test data; sector focused stability; sensitivity; simulated test data; system errors; target strengths; Acoustic beams; Acoustic sensors; Direction of arrival estimation; Eigenvalues and eigenfunctions; Multiple signal classification; Sensor arrays; Signal resolution; Signal to noise ratio; Testing; Transmission line matrix methods;
fLanguage :
English
Journal_Title :
Oceanic Engineering, IEEE Journal of
Publisher :
ieee
ISSN :
0364-9059
Type :
jour
DOI :
10.1109/48.262294
Filename :
262294
Link To Document :
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