Open AccessTwo‐dimensional FFT and two‐dimensional CA‐CFAR based on ZYNQ
Author(s) -
Yuan Yunneng,
Li Weihua,
Sun Zhongsheng,
Zhang Yuxi,
Xiang Hong
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0201
Subject(s) - fast fourier transform , constant false alarm rate , computer science , process (computing) , radar , signal (programming language) , feature (linguistics) , artificial intelligence , algorithm , telecommunications , linguistics , philosophy , programming language , operating system
Here, two‐dimensional FFT and two‐dimensional CA‐CFAR are combined to process echoes of LFMCW radar based on ZYNQ, which are implemented on hardware, using parallel feature of ZYNQ to improve processing speed. With the high accurate information of two‐dimensional FFT and two‐dimensional CA‐CFAR, the velocity and range information of echo signal is extracted. The coupling problem of velocity and range is solved and the situation of alarm leakage in multi‐target is avoided. First, the basic form of the LFMCW signal is introduced. Then, the implementation flow of 2D‐FFT and 2D CA‐CFAR is described in detail. At last, the conclusion is given by analysing the results of the tested data processed by ZYNQ and is compared with 1D‐FFT combined with 1D‐CFAR.