Two-Dimensional Imaging Algorithm Based on Linear Prognosis for Space Target in Bistatic ISAR System
Abstract: In bistatic inverse
synthetic aperture radar (Bi-ISAR) system, its image resolution is lower than
monostatic ISAR system. In order to solve this problem, the linear prognosis
algorithm is adopted in the imaging process and the imaging algorithm based on
linear prognosis is proposed. Space target Bi-ISAR imaging is taken as example
in the research. The one-dimensional range profile is created through pulse
compression method. Before the azimuth compression, burg entropy maximum
algorithm in Levions recursive method is used to estimate the prognosis
coefficients and the azimuth echo data. Then Fourier transformation is used to
compress the azimuth data in order to get the high resolution azimuth image.
This imaging method can obtain the two-dimensional image with the resolution
equal to the monostatic ISAR or even higher than it. Simulation experiments
have verified the effectiveness and availability of the algorithm.
Author: Xueping Lu, Shapu Ren
Journal Code: jptkomputergg140092
