@inproceedings{14e15fbd11794d4e997696163fe32be0,
title = "Direction Finding and Self-Calibration for Bistatic MIMO Radar in the Presence of Direction-Dependent Mutual Coupling",
abstract = "Angle estimation in the presence of mutual coupling is an important research issue for uniform linear arrays based bistatic multiple-input multiple-output (MIMO). In this paper, the effect of mutual coupling varying with different directions is considered, and by exploiting the Parallel Factor (PARAFAC) analysis we recover the imperfect array manifolds of transmitter and receiver, respectively. Because of the utilization of the multidimensional structure for angle estimation, more accurate estimates are obtained. Numerical simulation results show that the proposed algorithm has better performance than the state-of-The-Art solutions.",
keywords = "Bistatic MIMO radar, Mutual coupling, PARAFAC",
author = "Shuai Luo and Yuexian Wang and Jianying Li",
note = "Publisher Copyright: {\textcopyright} 2021 USNC-URSI under licence to authors.; 2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2021 ; Conference date: 04-12-2021 Through 10-12-2021",
year = "2021",
doi = "10.23919/USNC-URSI51813.2021.9703506",
language = "英语",
series = "2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2021 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "112--113",
booktitle = "2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2021 - Proceedings",
}