DocumentCode
1610461
Title
Enhanced DOA visibility of correlated sources for multistatic shipborne surface wave radar
Author
Li, Bo ; Xu, Bin ; Yuan, Yeshu
Author_Institution
Res. Inst. of Electron. Eng., Harbin Inst. of Technol., Harbin
fYear
2009
Firstpage
1
Lastpage
5
Abstract
A modified array interpolation approach to correlated source localization is presented for the surface wave radar (SWR) that employs multiple uniform linear subarrays (ULSAs) mounted on different ships to compose a multistatic shipborne SWR receiving array. This approach that overcomes the main shortcomings of some existing interpolation techniques, comprises three stages: a first stage for preestimating direction-of-arrivals (DOAs) on an assumption that at least a single ULSA is available for correlated source localization, a second stage for specifying a union of nonoverlapping narrow subsectors as the interpolated sector to cover only the preestimates, and a third stage for reestimating DOAs with the virtual uniform linear array (VULA), in which we skip noise prewhitening and appropriately increase the amount of forward/backward spatial smoothing (FBSS) that plays a major role in lowering noise floor while decorrelating correlated sources. Monte Carlo simulations demonstrate the validity of our proposal.
Keywords
Monte Carlo methods; array signal processing; correlation methods; direction-of-arrival estimation; interpolation; marine radar; radar signal processing; smoothing methods; Monte Carlo simulation; SWR receiving array; VULA; array interpolation approach; backward spatial smoothing; correlated source localization; direction-of-arrival preestimation; enhanced DOA visibility; forward spatial smoothing; multiple uniform linear subarrays; multistatic shipborne surface wave radar; virtual uniform linear array; Azimuth; Clutter; Direction of arrival estimation; Interference; Interpolation; Marine vehicles; Radar scattering; Smoothing methods; Surface waves; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 2009 IEEE
Conference_Location
Pasadena, CA
ISSN
1097-5659
Print_ISBN
978-1-4244-2870-0
Electronic_ISBN
1097-5659
Type
conf
DOI
10.1109/RADAR.2009.4977102
Filename
4977102
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