Micro-motion feature extraction of target in inverse synthetic aperture radar imaging with sparse aperture

Abstract

Micro-motion features are very useful for target recognition in inverse synthetic aperture radar (ISAR). In this paper, we propose an effective algorithm for micro-motion feature extraction in ISAR imaging with sparse aperture. The micro-Doppler effect induced by rotational micro-motion in ISAR with sparse aperture is analysed first, and then an improved four-parameter Hough transform and an Orthogonal matching pursuit decomposition method are proposed to extract the micro-motion parameters, such as rotation rate and radius. Simulations are given to demonstrate the effectiveness of the proposed algorithm.

Acknowledgements

This research was supported in part by the National Natural Science Foundation of China under Grant 61201369 and 61172169 and in part by the Natural Science Foundation Research Program of Shaanxi Province under Grant 2013JQ8008.