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

Advanced Radar Technology Laboratory, DGIST, Daegu 42988, Korea
Author to whom correspondence should be addressed.
These authors are first co-authors.
Sensors 2019, 19(3), 608;
Received: 27 December 2018 / Revised: 28 January 2019 / Accepted: 29 January 2019 / Published: 31 January 2019
(This article belongs to the Section Physical Sensors)
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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. View Full-Text
Keywords: FMCW radar; surveillance; low complexity; Doppler FMCW radar; surveillance; low complexity; Doppler

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Kim, B.-S.; Jin, Y.; Kim, S.; Lee, J. A Low-Complexity FMCW Surveillance Radar Algorithm Using Two Random Beat Signals. Sensors 2019, 19, 608.

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