@inproceedings{2a4bcd0bf2374bfaaef3eb14a552db92,
title = "Multistatic radar imaging via decentralized and collaborative subspace pursuit",
abstract = "The task of multistatic radar imaging can be converted to the problem of jointly sparse signal recovery. In this paper, the algorithm named decentralized and collaborative subspace pursuit (DCSP) is utilized in multistatic radar systems to obtain a high-resolution image. By embedding collaboration among radar nodes and fusion strategy into each iteration of the standard subspace pursuit (SP) algorithm, DCSP is capable of providing satisfactory image even if some radar nodes suffer from relatively low signal-to-noise ratios (SNRs). Compared to the existing algorithms based on linear programming, DCSP has much lower computational complexity at the cost of increased communication overhead in the radar network.",
keywords = "Compressive sensing, Multistatic radar imaging, Subspace pursuit",
author = "Gang Li and Varshney, {Pramod K.} and Zhang, {Yimin D.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 19th International Conference on Digital Signal Processing, DSP 2014 ; Conference date: 20-08-2014 Through 23-08-2014",
year = "2014",
doi = "10.1109/ICDSP.2014.6900756",
language = "English (US)",
series = "International Conference on Digital Signal Processing, DSP",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "710--714",
booktitle = "2014 19th International Conference on Digital Signal Processing, DSP 2014",
}