@inproceedings{c364925156ee4eec856f4ca8b600f097,
title = "Parameter resolutions of uniformly accelerated targets based on hybrid integration",
abstract = "Detection and motion estimation of weak, high-speed and maneuvering targets are urgently needed in modern radar, and long-time integration is an effective method to improve the performance. This paper studies motion parameter estimation based on hybrid integration in a long time. For uniformly accelerated targets, this paper derives the closed-form expressions of the resolutions of range, velocity and acceleration of the hybrid integration, which are different from the existing results of coherent integration methods. This work is helpful to analyze the estimation performance as well as to speed up the implementation of the hybrid integration. Finally, some results of numeral experiments are provided to demonstrate the effectiveness of the above analysis.",
keywords = "Generalized Radon transform (GRT), Generalized Radon-Fourier transform (GRFT), Hybrid integration, Maneuvering targets, Parameter resolution",
author = "You, \{Peng Jie\} and Jia Xu and Qian, \{Li Chang\} and Xu Zhou and Xia, \{Xiang Gen\} and Teng Long and Bian, \{Ming Ming\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 CIE International Conference on Radar, RADAR 2016 ; Conference date: 10-10-2016 Through 13-10-2016",
year = "2017",
month = oct,
day = "4",
doi = "10.1109/RADAR.2016.8059441",
language = "English",
series = "2016 CIE International Conference on Radar, RADAR 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 CIE International Conference on Radar, RADAR 2016",
address = "United States",
}