@inproceedings{e53f0058a16c43eca0c160d2b6cde5a6,
title = "Target scattering centers reconstruction based on C-means method for radar network",
abstract = "Conventional synthetic aperture radar (SAR) and inverse SAR (ISAR) techniques need long integration time, i.e. 1 second or more, to get the high azimuth resolution. Radar network with widely separated transmitters and receivers has the ability to simultaneously acquire the high range resolution profiles (HRRPs) from different angles and thus has the potential to reconstruct the target image by combining the information from these HRRPs. This paper proposed a target reconstruction algorithm based on the C-means method for radar network. The reconstruction could be accomplished by using fuzzy clustering of C-means method based on these HRRPs. The simulation results validated the proposed algorithm.",
keywords = "C-means method, radar network, scattering centers reconstruction",
author = "Feifeng Liu and Wenling Feng and Tao Zeng",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016 ; Conference date: 05-08-2016 Through 08-08-2016",
year = "2016",
month = nov,
day = "22",
doi = "10.1109/ICSPCC.2016.7753686",
language = "English",
series = "ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings",
address = "United States",
}