Open AccessA NSZT Method for Frequency Estimation and Anti‐noise Performance Analysis
Author(s) -
Zhang Wenxin,
Liu Xiaojun,
Chen Xiuwei,
Liu Qing,
Fang Guangyou
Publication year - 2018
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.2017.10.007
Subject(s) - estimation , computer science , noise (video) , frequency analysis , acoustics , algorithm , artificial intelligence , physics , engineering , image (mathematics) , systems engineering
Among all the frequency estimation algorithm, the spectrum zooming method has superiority for high resolution and excellent anti‐noise performance, but it needs more computational resource. The typical spectrum zooming methods include Zoom fast Fourier transform (ZFFT), Chirp‐Z transform (CZT) and zeropadding, which are all uniform spectrum zooming methods. A Nonuniform spectrum zooming transform (NSZT) method with higher accuracy, better anti‐noise ability and higher efficiency is presented. To verify the proposed method, the Monte‐Carlo simulations are performed. Results are presented and compared with the Cramer‐Rao bound (CRB) method, showing that the proposed algorithm has the least Mean square error (MSE) among these algorithms. This NSZT method is used in a 24GHz Frequency modulated continuous wave (FMCW) radar system and an experiment for the real‐time ranging is conducted. The experimental results show that the ranging error of the radar system is about 5mm in 10m, which verifies the feasibility of our proposed method.