@inproceedings{2de6d6bad18445f6aa16e34d7df50264,
title = "Manifold separation and polarimetric element space based parameter estimation for polarimetric monostatic MIMO radar",
abstract = "In this paper, a manifold separation technique and polarimetric element space-based direction-of-arrival and polarization estimation algorithm for monostatic polarimetric MIMO radar is proposed. Polynomial root finding technique is involved in the proposed method and thus the proposed method is computational efficient. To ensure the Vandermonde structure of the Fourier basis, transformation matrix is defined in this paper. The transmitter and receiver are uni-polarized antennas of arbitrary configurations and diversely polarized antennas of arbitrary configurations, respectively. Cramer Rao bound is also derived to compare with the performance of the proposed method. Simulation results are conducted to verify the performance of the proposed method.",
keywords = "DOA estimation, manifold separation technique, polarimetric element space, polarization, polynomial rooting",
author = "Yaxing Yue and Yougen Xu and Zhiwen Liu",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 CIE International Conference on Radar, Radar 2021 ; Conference date: 15-12-2021 Through 19-12-2021",
year = "2021",
doi = "10.1109/Radar53847.2021.10027887",
language = "English",
series = "Proceedings of the IEEE Radar Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "573--577",
booktitle = "2021 CIE International Conference on Radar, Radar 2021",
address = "United States",
}