Open AccessFast implementation of scaled inverse Fourier transform for high‐speed radar target detection
Author(s) -
Niu Zhiyong,
Zheng Jibin,
Su Tao,
Zhang Jiancheng
Publication year - 2017
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2017.1782
Subject(s) - autocorrelation , inverse , fourier transform , fast fourier transform , algorithm , computer science , limit (mathematics) , frequency domain , radar , discrete fourier transform (general) , energy (signal processing) , fractional fourier transform , function (biology) , computational complexity theory , radar detection , electronic engineering , mathematics , fourier analysis , engineering , mathematical analysis , telecommunications , statistics , computer vision , geometry , biology , evolutionary biology
The symmetric autocorrelation function (SAF) has a huge computational complexity, which may limit the practical application of SAF‐based scaled inverse Fourier transform (SCIFT). Taking the relationship between SAF and summation into consideration, a frequency‐domain method is proposed for the fast implementation of the SCIFT, and the energy integration performance remains unchanged. Mathematic analysis and numerical simulations are provided to illustrate the efficiency of this method.