DocumentCode
1950218
Title
Direction of arrival estimation using super-resolution algorithm
Author
Xu, Yi ; Feng, Wei Feng ; Hao, Jun Yan ; Hwang, H.K.
Author_Institution
Electr. & Comput. Eng., California State Polytech. Univ., Pomona, CA, USA
Volume
2
fYear
2001
fDate
2001
Firstpage
749
Abstract
The angular resolution of conventional antenna is limited by the antenna mainlobe beamwidth. To reduce the antenna mainlobe beamwidth by conventional approach requires either using larger antenna or operating at a higher frequency. Both approaches may be undesirable for the application of airborne radar systems. This report suggests using a sensor array to perform space-time processing to enhance the angular resolution of antenna. By using the eigenanalysis method, the time sequence of sensor array outputs are decomposed into the signal and noise subspace and noise only subspace. The two subspaces are orthogonal to each other. Using the generalized MUltiple SIgnal Classification (MUSIC) method, closed spaced targets within the antenna mainlobe may be resolved. The theoretical background is discussed in this report. Computer simulation results are presented to verify the super resolution capability of this signal processing algorithm
Keywords
airborne radar; geophysical signal processing; oceanographic techniques; radar imaging; radar resolution; remote sensing by radar; MUSIC; airborne radar; angular resolution; arrival direction estimation; closed spaced targets; direction of arrival estimation; eigenanalysis method; measurement technique; multiple signal classification; ocean; orthogonal subspace; radar imaging; radar remote sensing; sea surface; sensor; signal processing algorithm; space-time processing; super resolution algorithm; Aperture antennas; Direction of arrival estimation; Frequency estimation; Multiple signal classification; Radar antennas; Sensor arrays; Signal processing algorithms; Signal resolution; Spatial resolution; Spectral analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS, 2001. MTS/IEEE Conference and Exhibition
Conference_Location
Honolulu, HI
Print_ISBN
0-933957-28-9
Type
conf
DOI
10.1109/OCEANS.2001.968214
Filename
968214
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