@inproceedings{9b049b46969c4ad193bb0b4ea1e47eb3,
title = "STAP-based GMTI for multichannel SAR with sparse sampling",
abstract = "The enormous amount of sampling raw data makes difficulties in storage and transmission for multi-channel SAR-GMTI system. In this paper we present a STAP-based GMTI approach using a small amount of multichannel SAR raw data. The SAR raw data is firstly sampled in the azimuth direction sparsely. Secondly, STAP processing method is adopted to eliminate the clutter returns in slow time domain. Finally, GMTI is achieved by GPSR reconstruction approach. The experiments with the multichannel SAR raw data and GMTI performance analysis demonstrate that this method is applicable with sparse sampling.",
keywords = "Ground moving target indication, Multichannel SAR, Space time adaptive processing, Sparse sampling, Synthetic aperture radar",
author = "Huilin Mu and Yun Zhang and Yicheng Jiang and Tianyun Yang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Radar Conference, RadarConf 2017 ; Conference date: 08-05-2017 Through 12-05-2017",
year = "2017",
month = jun,
day = "7",
doi = "10.1109/RADAR.2017.7944441",
language = "英语",
series = "2017 IEEE Radar Conference, RadarConf 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1483--1487",
booktitle = "2017 IEEE Radar Conference, RadarConf 2017",
address = "美国",
}