scholarly journals A Vehicular Mobile Standard Instrument for Field Verification of Traffic Speed Meters Based on Dual-Antenna Doppler Radar Sensor

Sensors ◽  
2018 ◽  
Vol 18 (4) ◽  
pp. 1099 ◽  
Author(s):  
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Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 855 ◽  
Author(s):  
Park ◽  
Jeong ◽  
Lee ◽  
Oh ◽  
Yang

The authors wish to make the following corrections to the published paper [...]


Author(s):  
Hyun-Jun Shin ◽  
Doo-Hyun Choi ◽  
Chang-Heon Oh
Keyword(s):  

2020 ◽  
Vol 58 (7) ◽  
pp. 5195-5207 ◽  
Author(s):  
Federico Alimenti ◽  
Stefania Bonafoni ◽  
Elisa Gallo ◽  
Valentina Palazzi ◽  
Roberto Vincenti Gatti ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5209 ◽  
Author(s):  
Heesoo Kim ◽  
Jinho Jeong

This paper presents a W-band continuous-wave (CW) Doppler radar sensor for non-contact measurement of human respiration and heartbeat. The very short wavelength of the W-band signal allows a high-precision detection of the displacement of the chest surface by the heartbeat as well as respiration. The CW signal at 94 GHz is transmitted through a high-gain horn antenna to the human chest at a distance of 1 m. The phase-modulated reflection signal is down-converted to the baseband by the quadrature mixer with an excellent amplitude and phase matches between I and Q channels, which makes the IQ mismatch correction in the digital domain unnecessary. The baseband I and Q data are digitized using data acquisition (DAQ) board. The arctangent demodulation with automatic phase unwrapping is applied to the low-pass filtered I and Q data to effectively solve the null point problem. A slow-varying DC component is rejected in the demodulated signal by the trend removal algorithm. Then, the respiration signal with a frequency of 0.27 Hz and a displacement of ~6.1 mm is retrieved by applying a low-pass filter. Finally, the respiration signal is removed by the band-pass filter and the heartbeat signal is extracted, showing a frequency of 1.35 Hz and a displacement of ~0.26 mm. The extracted respiration and heartbeat rates are very close to the manual measurement results. The demonstrated W-band CW radar sensors can be easily applied to find the angular location of the human body by using a phased array under a compact size.


Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1230
Author(s):  
Lei Du ◽  
Qiao Sun ◽  
Jie Bai ◽  
Xiaolei Wang ◽  
Tianqi Xu

The 24 GHz continuous-wave (CW) Doppler radar sensor (DRS) is widely used for measuring the instantaneous speed of moving objects by using a non-contact approach, and has begun to be used in train-borne movable speed measurements in recent years in China because of its advanced performance. The architecture and working principle of train-borne DRSs with different structures including single-channel DRSs used for freight train speed measurements in railway freight dedicated lines and dual-channel DRSs used for speed measurements of high-speed and urban rail trains in railway passenger dedicated lines, are first introduced. Then, the disadvantages of two traditional speed calibration methods for train-borne DRS are described, and a new speed calibration method based on the Doppler shift signal simulation by imposing a signal modulation on the incident CW microwave signal is proposed. A 24 GHz CW radar target simulation system for a train-borne DRS was specifically realized to verify the proposed speed calibration method for a train-borne DRS, and traceability and performance evaluation on simulated speed were taken into account. The simulated speed range of the simulation system was up to (5~500) km/h when the simulated incident angle range was within the range of (45 ± 8)°, and the maximum permissible error (MPE) of the simulated speed was ±0.05 km/h. Finally, the calibration and uncertainty evaluation results of two typical train-borne dual-channel DRS samples validated the effectiveness and feasibility of the proposed speed calibration approach for a train-borne DRS with full range in the laboratory as well as in the field.


2014 ◽  
Vol 62 (9) ◽  
pp. 1837-1846 ◽  
Author(s):  
Qinyi Lv ◽  
Dexin Ye ◽  
Shan Qiao ◽  
Yannick Salamin ◽  
Jiangtao Huangfu ◽  
...  

2013 ◽  
Vol 13 (5) ◽  
pp. 1897-1904 ◽  
Author(s):  
Isar Mostafanezhad ◽  
Ehsan Yavari ◽  
Olga Boric-Lubecke ◽  
Victor M. Lubecke ◽  
Danilo P. Mandic

2014 ◽  
Vol 61 (3) ◽  
pp. 725-735 ◽  
Author(s):  
Wei Hu ◽  
Zhangyan Zhao ◽  
Yunfeng Wang ◽  
Haiying Zhang ◽  
Fujiang Lin
Keyword(s):  

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