@inproceedings{ac581d3168294f4f92f4cdaab461abbd,
title = "HFSWR Polarization DOA Estimation Based on Quaternion",
abstract = "This paper examines the direction of arrival (DOA) estimation for polarized signals impinging on a vector sensor array for high frequency surface wave radar (HFSWR). The vector array effectively utilizes the polarization domain information of incident signals, and the quaternion model is adopted for signals polarization characteristic maintenance and computational burden reduction. The quaternion data model based on vector uniform linear array (ULA) is established. Based on the model, a quaternion MUSIC algorithm based on HFSWR signal processing is proposed for HFSWR DOA estimation. The algorithm combines the HFSWR signal processing and vector ULA to enhance the DOA estimation performance. Analytical simulations are operated to certify the capability of the algorithm.",
keywords = "Direction of arrival, Polarization, Quaternion model, Vector uniform linear array",
author = "Shao Shuai and Liu Aijun and Yu Changjun and Lv Zhe and Zhao Quanrui",
note = "Publisher Copyright: {\textcopyright} 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 12th International Conference on Wireless and Satellite Services, WiSATS 2021 ; Conference date: 31-07-2021 Through 02-08-2021",
year = "2022",
doi = "10.1007/978-3-030-93398-2\_44",
language = "英语",
isbn = "9783030933975",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "471--481",
editor = "Qing Guo and Weixiao Meng and Min Jia and Xue Wang",
booktitle = "Wireless and Satellite Systems - 12th EAI International Conference, WiSATS 2021, Proceedings",
address = "德国",
}