@inproceedings{3ccad1b978da42d5990a0d5949986832,
title = "DOA Estimation Based on Bayesian Compressive Sensing",
abstract = "In this paper, Bayesian Compressive Sensing algorithm is studied. To deal with signals with multiple snapshots, we extend traditional Bayesian algorithm under the condition of single snapshot to multi-snapshot Bayesian Compressed Sensing (MBCS) algorithm and apply MBCS algorithm to direction of arrival (DOA) estimation of narrowband signals and wideband signals. Simulation shows that the application of BCS to DOA has certain advantages in algorithm performance.",
keywords = "Bayesian Compressed Sensing, DOA, Wideband signal",
author = "Suhang Li and Yongkui Ma and Yulong Gao and Jingxin Li",
note = "Publisher Copyright: {\textcopyright} 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 10th EAI International Conference on Wireless and Satellite Systems, WiSATS 2019 ; Conference date: 12-01-2019 Through 13-01-2019",
year = "2019",
doi = "10.1007/978-3-030-19153-5\_62",
language = "英语",
isbn = "9783030191528",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "630--639",
editor = "Min Jia and Qing Guo and Weixiao Meng",
booktitle = "Wireless and Satellite Systems - 10th EAI International Conference, WiSATS 2019, Proceedings",
address = "德国",
}