TY - GEN
T1 - Research on new algorithm of dealing with distance ambiguity for high frequency PD radar
AU - Zhao, Kai Rui
AU - Li, Yang
AU - Hu, Ya Zhou
AU - Huang, Xin Hua
AU - Hou, Long Bin
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016
Y1 - 2016
N2 - In the high-frequency PD radar engineering applications, it is easy to produce the distance ambiguity problem. The most commonly used solutions of the fuzzy algorithms are Chinese remainder theorem, one-dimensional set of algorithms and more than poor look-up table method. This paper presents a new algorithm of range ambiguity resolution, first of all estimate a set of fuzzy distance number of wavelengths through the lattice theory, and then implement the estimation of the true distance in the framework of maximum likelihood estimation. Finally, the simulation experiments show that, the solution of fuzzy algorithm under the assurance to solve the ambiguity of the accuracy of the premise, compared to in the Chinese remainder theorem, one-dimensional set algorithm, residual look-up table method has a faster processing speed.
AB - In the high-frequency PD radar engineering applications, it is easy to produce the distance ambiguity problem. The most commonly used solutions of the fuzzy algorithms are Chinese remainder theorem, one-dimensional set of algorithms and more than poor look-up table method. This paper presents a new algorithm of range ambiguity resolution, first of all estimate a set of fuzzy distance number of wavelengths through the lattice theory, and then implement the estimation of the true distance in the framework of maximum likelihood estimation. Finally, the simulation experiments show that, the solution of fuzzy algorithm under the assurance to solve the ambiguity of the accuracy of the premise, compared to in the Chinese remainder theorem, one-dimensional set algorithm, residual look-up table method has a faster processing speed.
KW - Chinese remainder theorem
KW - Lattice theory
KW - maximum likelihood estimation
KW - one-dimensional set algorithm
KW - residual look-up table method
UR - https://www.scopus.com/pages/publications/85015215988
U2 - 10.1109/ICARCV.2016.7838843
DO - 10.1109/ICARCV.2016.7838843
M3 - 会议稿件
AN - SCOPUS:85015215988
T3 - 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
BT - 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
Y2 - 13 November 2016 through 15 November 2016
ER -