@inproceedings{516a749a5ca94ae184bf1257cc51da9a,
title = "Angle-Doppler processing using sparse regularization",
abstract = "The detection of moving objects on the ground by airborne radar is one application of space-time adaptive processing (STAP). The goal is to estimate the position and velocity of objects. This paper considers the problem as a linear inverse problem and uses l1-norm regularization to promote sparsity in the solution. It is proposed that the angle-Doppler plane be explicitly segmented into the clutter ridge component and a non-clutter-ridge component. We propose that the second component be modeled as sparse - as the moving objects are assumed to be well isolated in the angle-Doppler plane.",
keywords = "GMTI, Iterated thresholding, Radar, STAP, Signal restoration, Sparsity",
author = "Selesnick, {Ivan W.} and Pillai, {S. Unnikrishna} and Li, {Ke Yong} and Braham Himed",
year = "2010",
doi = "10.1109/ICASSP.2010.5496219",
language = "English (US)",
isbn = "9781424442966",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2750--2753",
booktitle = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings",
note = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 ; Conference date: 14-03-2010 Through 19-03-2010",
}