TY - JOUR
T1 - Adaptive Displacement Calibration Strategies for Field Structural Health Monitoring Based on Doppler Radars
AU - Rodrigues, Davi V.Q.
AU - Zuo, Delong
AU - Tang, Ziyan
AU - Wang, Jing
AU - Gu, Changzhan
AU - Li, Changzhi
N1 - Funding Information:
Manuscript received November 22, 2019; revised February 8, 2020; accepted March 8, 2020. Date of publication March 27, 2020; date of current version September 15, 2020. This work was supported by the National Science Foundation (NSF) under Grant ECCS-1808613 and Grant CNS-1718483. The Associate Editor coordinating the review process was Huang-Chen Lee. (Corresponding author: Davi V. Q. Rodrigues.) Davi V. Q. Rodrigues, Jing Wang, and Changzhi Li are with the Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79409 USA (e-mail: davi.rodrigues@ttu.edu; anna.wang@ttu.edu; changzhi.li@ttu.edu).
Publisher Copyright:
© 1963-2012 IEEE.
PY - 2020/10
Y1 - 2020/10
N2 - This article presents two displacement calibration algorithms for Doppler radar demodulated data, which contribute to accurate monitoring of small vibrations even when the conventional arctangent demodulated displacement exhibits abrupt jumps. The field structural health monitoring of a traffic signal support structure was carried out by a 5.8-GHz Doppler radar to verify the effectiveness of each algorithm. The radar sensor captures and downconverts the microwave signal, which is phase modulated by the mast arm motion after being reflected on the ground. When conventional nonlinear phase demodulation is employed to retrieve the mast arm displacement from the Doppler radar baseband responses, sudden jumps are encountered in the displacement measurement. Two novel algorithms, referred to as the adaptive low-pass filtering algorithm (ALFA) and the adaptive joint signal processing algorithm (AJSPA), respectively, are suggested to eliminate jumps in phase-demodulated Doppler radar data. These strategies are compared in terms of accuracy and computational cost. The simulated and experimental results are provided to validate the proposed techniques. The presented methods can have wide applications in radar-based vibration monitoring.
AB - This article presents two displacement calibration algorithms for Doppler radar demodulated data, which contribute to accurate monitoring of small vibrations even when the conventional arctangent demodulated displacement exhibits abrupt jumps. The field structural health monitoring of a traffic signal support structure was carried out by a 5.8-GHz Doppler radar to verify the effectiveness of each algorithm. The radar sensor captures and downconverts the microwave signal, which is phase modulated by the mast arm motion after being reflected on the ground. When conventional nonlinear phase demodulation is employed to retrieve the mast arm displacement from the Doppler radar baseband responses, sudden jumps are encountered in the displacement measurement. Two novel algorithms, referred to as the adaptive low-pass filtering algorithm (ALFA) and the adaptive joint signal processing algorithm (AJSPA), respectively, are suggested to eliminate jumps in phase-demodulated Doppler radar data. These strategies are compared in terms of accuracy and computational cost. The simulated and experimental results are provided to validate the proposed techniques. The presented methods can have wide applications in radar-based vibration monitoring.
KW - Displacement measurement
KW - Doppler radar
KW - nonlinear phase demodulation
KW - remote sensing
KW - structural health monitoring (SHM)
UR - http://www.scopus.com/inward/record.url?scp=85091796286&partnerID=8YFLogxK
U2 - 10.1109/TIM.2020.2982233
DO - 10.1109/TIM.2020.2982233
M3 - Article
AN - SCOPUS:85091796286
VL - 69
SP - 7813
EP - 7824
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
SN - 0018-9456
IS - 10
M1 - 9049408
ER -