UAV target detection and parameter estimation in non-homogeneous clutter

Aiming at the problem of UAV target detection and parameter estimation in non-homogeneous clutter with STLFMCW radar, a SK-CFAR detector is proposed based on the local spectrum refinement. By using zoom-FFT, the two-dimensional spectrum of the received signal is extracted for local template matching...

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Main Authors: Rui Huang, Xiao-Yong Du, Wei-Dong Hu
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0550
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author Rui Huang
Xiao-Yong Du
Wei-Dong Hu
author_facet Rui Huang
Xiao-Yong Du
Wei-Dong Hu
author_sort Rui Huang
collection DOAJ
description Aiming at the problem of UAV target detection and parameter estimation in non-homogeneous clutter with STLFMCW radar, a SK-CFAR detector is proposed based on the local spectrum refinement. By using zoom-FFT, the two-dimensional spectrum of the received signal is extracted for local template matching. Subsequently, the two-dimensional SK-CFAR detector and CLEAN technique are applied to decide whether there exist some targets in the region of interest. Compared with Radon–Fourier transform (RFT) and moving target detection (MTD), the proposed estimator based on local speed compensation is a good choice for the trade-off of high performance and low computational load even though the input signal-to-clutter ratio approaches to −24 dB.
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spelling doaj.art-a5bd67c75e734a9ea787561060a3250e2022-12-21T18:58:08ZengWileyThe Journal of Engineering2051-33052019-09-0110.1049/joe.2019.0550JOE.2019.0550UAV target detection and parameter estimation in non-homogeneous clutterRui Huang0Xiao-Yong Du1Wei-Dong Hu2National University of Defense TechnologyNational University of Defense TechnologyNational University of Defense TechnologyAiming at the problem of UAV target detection and parameter estimation in non-homogeneous clutter with STLFMCW radar, a SK-CFAR detector is proposed based on the local spectrum refinement. By using zoom-FFT, the two-dimensional spectrum of the received signal is extracted for local template matching. Subsequently, the two-dimensional SK-CFAR detector and CLEAN technique are applied to decide whether there exist some targets in the region of interest. Compared with Radon–Fourier transform (RFT) and moving target detection (MTD), the proposed estimator based on local speed compensation is a good choice for the trade-off of high performance and low computational load even though the input signal-to-clutter ratio approaches to −24 dB.https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0550radar clutterparameter estimationradon transformsfast fourier transformsobject detectionsignal detectionradar detectionfourier transformscw radarfm radarcorrelation methodstarget trackinguav target detectionparameter estimationnonhomogeneous clutterstlfmcw radarsk-cfar detectorlocal spectrum refinementzoom-ffttwo-dimensional spectrumlocal template matchinglocal speed compensationinput signal-to-clutter rationoise figure -24.0 db
spellingShingle Rui Huang
Xiao-Yong Du
Wei-Dong Hu
UAV target detection and parameter estimation in non-homogeneous clutter
The Journal of Engineering
radar clutter
parameter estimation
radon transforms
fast fourier transforms
object detection
signal detection
radar detection
fourier transforms
cw radar
fm radar
correlation methods
target tracking
uav target detection
parameter estimation
nonhomogeneous clutter
stlfmcw radar
sk-cfar detector
local spectrum refinement
zoom-fft
two-dimensional spectrum
local template matching
local speed compensation
input signal-to-clutter ratio
noise figure -24.0 db
title UAV target detection and parameter estimation in non-homogeneous clutter
title_full UAV target detection and parameter estimation in non-homogeneous clutter
title_fullStr UAV target detection and parameter estimation in non-homogeneous clutter
title_full_unstemmed UAV target detection and parameter estimation in non-homogeneous clutter
title_short UAV target detection and parameter estimation in non-homogeneous clutter
title_sort uav target detection and parameter estimation in non homogeneous clutter
topic radar clutter
parameter estimation
radon transforms
fast fourier transforms
object detection
signal detection
radar detection
fourier transforms
cw radar
fm radar
correlation methods
target tracking
uav target detection
parameter estimation
nonhomogeneous clutter
stlfmcw radar
sk-cfar detector
local spectrum refinement
zoom-fft
two-dimensional spectrum
local template matching
local speed compensation
input signal-to-clutter ratio
noise figure -24.0 db
url https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0550
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AT xiaoyongdu uavtargetdetectionandparameterestimationinnonhomogeneousclutter
AT weidonghu uavtargetdetectionandparameterestimationinnonhomogeneousclutter