Open AccessInverse second‐order polynomial time–frequency transform‐based detection of moving targets in the stepped‐frequency radars
Author(s) -
Mansoori Reza,
Mohseni Reza
Publication year - 2018
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
eISSN - 1751-9683
pISSN - 1751-9675
DOI - 10.1049/iet-spr.2015.0382
Subject(s) - radar , algorithm , inverse , waveform , polynomial , range (aeronautics) , time–frequency analysis , fourier transform , computer science , mathematics , telecommunications , engineering , mathematical analysis , geometry , aerospace engineering
One of the most common methods to achieve high‐range resolution radar is based on the stepped‐frequency waveform. In the stepped‐frequency radar, if high‐range resolution profile (HRRP) is created by means of the inverse discrete Fourier transform, some distortions can be created that result in reducing the detectability of moving targets. A new inverse second‐order polynomial time‐frequency transform ‐based algorithm is proposed to compose HRRP. It is shown that this algorithm efficiently compensates the undesirable effects created by the movements of targets in HRRP and improves the detection probability.