@inproceedings{23a0899cf9a140088d1e9641596e6c9d,
title = "Enhanced Cascaded Iteration for Polarimetric Space-Time Adaptive Processing",
abstract = "The enhanced cascaded iteration for polarimetric space-time adaptive processing is studied in the paper. In the processor, the signal vector to be detected (SiVD) is firstly estimated via a modified least square method (mLSM). Then, the clutter plus noise covariance matrix (CNCM) is enhanced to estimate by a new approach which can be directly used to other signal processing methods based on the same antenna model. Before iterative processing, the SiVD and CNCM are converted by a dimension-reduced matrix. The filter weight vector is designed and obtained by a separated and iterative way in the polarization and space-time domains, respectively. Simulation results show that the proposed polarimetric processor has a better improvement factor performance and less samples requirement with the existing low computational cost schemes.",
keywords = "STAP, clutter suppression, dimension-reduced, iterative, polarization",
author = "Siqing Zhang and Zhiwen Liu and Kang Zhao and Yougen Xu",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 8th International Conference on Signal and Image Processing, ICSIP 2023 ; Conference date: 08-07-2023 Through 10-07-2023",
year = "2023",
doi = "10.1109/ICSIP57908.2023.10270966",
language = "English",
series = "2023 8th International Conference on Signal and Image Processing, ICSIP 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "753--757",
booktitle = "2023 8th International Conference on Signal and Image Processing, ICSIP 2023",
address = "United States",
}