A Novel Parameter Estimation Method for Maneuvering Target Based on DCF‐RFRFT
Author(s) -
Yang Gang,
Tian Jing,
Wu Shuang,
Cui Wei,
Wu Siliang
Publication year - 2017
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2017.09.032
Subject(s) - fractional fourier transform , computer science , frequency domain , radar , fourier transform , range (aeronautics) , algorithm , doppler effect , doppler frequency , spectral density estimation , radon transform , dual (grammatical number) , estimation theory , mathematics , telecommunications , artificial intelligence , fourier analysis , physics , computer vision , mathematical analysis , art , materials science , literature , astronomy , composite material
To resolve the range migration and Doppler frequency spread, a new parameter estimation method, namely Dual‐carrier frequency‐Radon fractional Fourier transform (DCF‐RFRFT), is proposed based on the dual‐carrier frequency radar data. In this method, dual‐carrier frequency radar data is constructed in the range frequency domain and a new signal is constructed by multiplying one with the complex conjugate of the other. Radon fractional Fourier transform (RFRFT) is performed to obtain the estimates of velocity and acceleration. This method does not need any prior‐knowledge of targets and can resolve the Doppler ambiguity problem. The simulation results demonstrate the effectiveness of the proposed algorithm.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom