@inproceedings{d64bd617b6834a928d783e2a48a80842,
title = "DOA estimation in compressed sensing framework by adaptively exploiting prior support information",
abstract = "In this paper, we propose a novel greedy pursuit algorithm for direction-of-arrival (DOA) estimation of multiple moving sources with time-variant DOAs. A prior support set of DOAs and a metric information are assumed to be available. Different from the traditional greedy pursuit algorithms which don't exploit prior support but select entries over the entire signal index set, or exploit the prior statically, we adaptively exploit the previously estimated prior support set by firstly selecting directly entries from the prior support based on the metric information. The exact number and values of unchanged DOAs are not required. Simulation results prove that the proposed method obtains more accurate estimates even for a small number of snapshots and low SNR.",
keywords = "Adaptive algorithm, Compressed sensing, Direction-of-arrival (DOA) estimation, Prior support",
author = "Jiao Yang and Zhi Zheng and Bo Yan and Yan Ge and Kehong Liu",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2nd IEEE International Conference on Computer and Communications, ICCC 2016 ; Conference date: 14-10-2016 Through 17-10-2016",
year = "2017",
month = may,
day = "10",
doi = "10.1109/CompComm.2016.7925031",
language = "English",
series = "2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1895--1899",
booktitle = "2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings",
address = "United States",
}