Title :
High azimuth resolution imaging algorithm for space targets bistatic ISAR based on linear prediction
Author :
Han Ning ; Xia Mingfei ; Chen Guoshun ; Wang Gefang
Author_Institution :
Mech. Technol. Res. Inst., Mech. Eng. Coll., Shijiazhuang, China
Abstract :
Bistatic inverse synthetic aperture radar (ISAR) makes use of non-back echo of target to form image, which solves the problem that the monostatic ISAR image could not be formed in some particular motion conditions. Due to the existence of bistatic angle, the azimuth resolution of bistatic ISAR is far smaller than the monostatic ISAR with the same bandwidth. To solve this problem, linear prediction algorithm is introduced to bistatic ISAR image. Based on the approximately linear character of azimuth echo, echo data is extended back and forth at the same time to expand bistatic echo. Equivalent pulse accumulation time is enhanced and the azimuth resolution is improved. Simulation experiment validates the efficiency of this algorithm.
Keywords :
prediction theory; radar imaging; radar interferometry; synthetic aperture radar; azimuth echo; bistatic inverse synthetic aperture radar; high azimuth resolution imaging algorithm; linear prediction algorithm; motion condition; nonback echo; space targets bistatic ISAR; Algorithm design and analysis; Azimuth; Extrapolation; Image resolution; Imaging; Prediction algorithms; Radar imaging; azimuth high resolution; bistatic angle; inverse synthetic aperture radar; linear prediction;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference on
Conference_Location :
Xianning
Print_ISBN :
978-1-4799-2859-0
DOI :
10.1109/CECNet.2013.6703340