Title :
Super resolution radar imagery based on 2D linear extension
Author :
Lam, Larry K. ; Abatzoglou, Theagenis J.
Author_Institution :
Res. & Dev. Div., Lockheed Missiles & Space Co. Inc., Palo Alto, CA, USA
Abstract :
This paper presents a procedure to process two dimensional RCS data to obtain super-resolution radar imagery. The data is collected by an inverse synthetic aperture radar (ISAR) in the X-band. The procedure is called two dimensional (2D) linear extension. It is used to enhance the resolution of ISAR images beyond the classical Rayleigh limit. For comparison purpose, the procedure has been implemented using two different linear prediction algorithms, (1) the modified forward backward linear prediction (MFBLP) and (2) the constrained total least squares (CTLS). The potential applications include magnetic resonance and synthetic aperture radar imaging
Keywords :
image resolution; least squares approximations; prediction theory; radar cross-sections; radar imaging; synthetic aperture radar; 2D RCS data; 2D linear extension; ISAR; ISAR images; X-band; constrained total least squares; inverse synthetic aperture radar; linear prediction algorithms; magnetic resonance imaging; modified forward backward linear prediction; super-resolution radar imagery; synthetic aperture radar imaging; Airborne radar; Application software; Frequency; Image reconstruction; Image resolution; Inverse synthetic aperture radar; Least squares methods; Magnetic resonance; Prediction algorithms; Radar cross section; Radar imaging; Radar polarimetry; Spaceborne radar;
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-4120-7
DOI :
10.1109/ACSSC.1993.342587
