@inproceedings{095fc0074a6f484887f701ba78cef586,
title = "Missile-borne radar data filtering algorithm based on the {"}current{"} statistical model",
abstract = "An Extended Kalman Filter (EKF) based on the {"}current{"} statistical model is developed for detection of highly maneuvering target using missile-borne Pulse Doppler radar. The online recursive filtering algorithm was also developed to estimate the four dimensional variable: relative distance, velocity, azimuth and elevation angles. Identifying the mean acceleration of maneuvering targets real-timely while estimating the state could improve the tracking performance. Simulation results show that the {"}current{"} statistical model based on EKF filtering algorithm is adaptive to high target maneuvering.",
keywords = "{"}current{"}statistical model, EKF, Highly maneuvering, Missile-borne PD radar",
author = "Huifeng Li and Chao Li",
year = "2012",
doi = "10.4028/www.scientific.net/AMR.433-440.6965",
language = "英语",
isbn = "9783037853191",
series = "Advanced Materials Research",
pages = "6965--6973",
booktitle = "Materials Science and Information Technology, MSIT2011",
note = "2011 International Conference on Material Science and Information Technology, MSIT2011 ; Conference date: 16-09-2011 Through 18-09-2011",
}