Next Article in Journal
Region-Based Static Video Stitching for Reduction of Parallax Distortion
Previous Article in Journal
Which Factors Affect the Stress of Intraoperative Orthopedic Surgeons by Using Electroencephalography Signals and Heart Rate Variability?
Article

High-Efficiency Super-Resolution FMCW Radar Algorithm Based on FFT Estimation

1
Division of Automotive Technology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea
2
Department of Interdisciplinary Engineering, DGIST, Daegu 42988, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Ali Khenchaf
Sensors 2021, 21(12), 4018; https://doi.org/10.3390/s21124018
Received: 25 May 2021 / Revised: 7 June 2021 / Accepted: 7 June 2021 / Published: 10 June 2021
(This article belongs to the Section Radar Sensors)
This paper proposes a high-efficiency super-resolution frequency-modulated continuous-wave (FMCW) radar algorithm based on estimation by fast Fourier transform (FFT). In FMCW radar systems, the maximum number of samples is generally determined by the maximum detectable distance. However, targets are often closer than the maximum detectable distance. In this case, even if the number of samples is reduced, the ranges of targets can be estimated without degrading the performance. Based on this property, the proposed algorithm adaptively selects the number of samples used as input to the super-resolution algorithm depends on the coarsely estimated ranges of targets using the FFT. The proposed algorithm employs the reduced samples by the estimated distance by FFT as input to the super resolution algorithm instead of the maximum number of samples set by the maximum detectable distance. By doing so, the proposed algorithm achieves the similar performance of the conventional multiple signal classification algorithm (MUSIC), which is a representative of the super resolution algorithms while the performance does not degrade. Simulation results demonstrate the feasibility and performance improvement provided by the proposed algorithm; that is, the proposed algorithm achieves average complexity reduction of 88% compared to the conventional MUSIC algorithm while achieving its similar performance. Moreover, the improvement provided by the proposed algorithm was verified in practical conditions, as evidenced by our experimental results. View Full-Text
Keywords: FMCW radar; super-resolution; low complexity; MUSIC FMCW radar; super-resolution; low complexity; MUSIC
Show Figures

Figure 1

MDPI and ACS Style

Kim, B.-s.; Jin, Y.; Lee, J.; Kim, S. High-Efficiency Super-Resolution FMCW Radar Algorithm Based on FFT Estimation. Sensors 2021, 21, 4018. https://doi.org/10.3390/s21124018

AMA Style

Kim B-s, Jin Y, Lee J, Kim S. High-Efficiency Super-Resolution FMCW Radar Algorithm Based on FFT Estimation. Sensors. 2021; 21(12):4018. https://doi.org/10.3390/s21124018

Chicago/Turabian Style

Kim, Bong-seok; Jin, Youngseok; Lee, Jonghun; Kim, Sangdong. 2021. "High-Efficiency Super-Resolution FMCW Radar Algorithm Based on FFT Estimation" Sensors 21, no. 12: 4018. https://doi.org/10.3390/s21124018

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop