@inproceedings{ea3e3fdd2b144e8989a84a0eb9448ff1,
title = "An Imaging Method for Co-Prime-Sampling Spaceborne SAR",
abstract = "The co-prime-sampling SAR can effectively alleviate the contradictory relationship between spatial resolution and swath width by applying co-prime sampling in azimuth. In order to achieve accurate imaging of co-prime-sampling SAR on the condition of non-negligible range cell migration, an imaging method based on 2D sparse signal reconstruction is proposed. The 2D observed signal is intercepted and the corresponding sparse dictionary is constructed both according to the Doppler parameters of each range gate. An improved 2D signal sparse reconstruction algorithm is used to perform sparse scene reconstruction. Simulation results are provided to demonstrate the effectiveness of the proposed method for sparse scene imaging.",
keywords = "co-prime-sampling, Doppler parameters, sparse recovery, synthetic aperture radar",
author = "Wanwan Zhao and Pengbo Wang and Wei Liu and Xinkai Zhou",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",
year = "2019",
month = jul,
doi = "10.1109/IGARSS.2019.8899843",
language = "英语",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2527--2530",
booktitle = "2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings",
address = "美国",
}