Superresolution ISAR imaging of maneuvering targets via subspace tracking

Author

Fu, Tuo ; Gao, Meiguo ; Yueqiu Han

Author_Institution

Dept. of Electron. Eng., Beijing Inst. of Technol., China

Volume

2

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

986

Abstract

For the problem of ISAR imaging of maneuvering targets, the Doppler frequency shifts are time-varying and range migration may still happen even after the motion compensation due to the complex motion of targets. Sliding window MUSIC algorithm based on a computationally efficient subspace updating method which takes advantage of the URV decomposition is applied to solve this problem. The effectiveness of this algorithm is shown by presenting and discussing some simulation results.

Keywords

Doppler shift; motion compensation; radar imaging; synthetic aperture radar; target tracking; time series; time-frequency analysis; Doppler frequency shifts; ISAR imaging; complex motion; inverse synthetic aperture radar; maneuvering targets; motion compensation; range migration; subspace tracking; subspace updating method; time series; time varying shifts; Azimuth; Frequency; Image reconstruction; Image resolution; Multiple signal classification; Radar imaging; Radar scattering; Radar tracking; Signal resolution; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on

Conference_Location

Nanjing

Print_ISBN

0-7803-7702-8

Type

conf

DOI

10.1109/ICNNSP.2003.1280766

Filename

1280766