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A Low-Complexity FMCW Surveillance Radar Algorithm Using Two Random Beat Signals

Title
A Low-Complexity FMCW Surveillance Radar Algorithm Using Two Random Beat Signals
Authors
Kim, Bong-seokJin, YoungseokKim, SangdongLee, Jonghun
DGIST Authors
Kim, Bong-seok; Kim, SangdongLee, Jonghun
Issue Date
2019-01
Citation
Sensors, 19(3)
Type
Article
Article Type
Article
Author Keyword
FMCW radar; surveillance; low complexity; Doppler
ISSN
1424-8220
Abstract
This paper proposes a low-complexity frequency-modulated continuous wave (FMCW) surveillance radar algorithm using random dual chirps in order to overcome the blind-speed problem and reduce the computational complexity. In surveillance radar algorithm, the most widely used moving target indicator (MTI) algorithm is proposed to effectively remove clutter. However, the MTI algorithm has a so-called ‘blind-speed problem’ that cannot detect a target of a specific velocity. In this paper, we try to solve the blind-speed problem of MTI algorithm by randomly selecting two beat signals selected for MTI for each frame. To further reduce the redundant complexity, the proposed algorithm first performs one-dimensional fast Fourier transform (FFT) for range detection and performs multidimensional FFT only when it is determined that a target exists at each frame. The simulation results show that despite low complexity, the proposed algorithm detects moving targets well by avoiding the problem of blind speed. Furthermore, the effectiveness of the proposed algorithm was verified by performing an experiment using the FMCW radar system in a real environment. © 2019 by the authors.
URI
http://hdl.handle.net/20.500.11750/9611
DOI
10.3390/s19030608
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Related Researcher
Files:
Collection:
Convergence Research Center for Future Automotive Technology1. Journal Articles


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