TY - JOUR
T1 - An Improved Vibration Parameter Estimation Method Applied for GB-MIMO Radar
AU - Zhao, Zheng
AU - Tian, Weiming
AU - Hu, Cheng
AU - Deng, Yunkai
AU - Zeng, Tao
N1 - Publisher Copyright:
© 2004-2012 IEEE.
PY - 2022
Y1 - 2022
N2 - A ground-based multiple-input multiple-output (GB-MIMO) radar is capable of performing structural health monitoring through vibration monitoring. However, when a target's vibration frequency is comparable to the image acquisition frequency of MIMO radar, its vibration can affect the vibration parameters estimation based on the pixel's phase series. In this letter, the impact of target vibration on the pixel series is analyzed. A robust method for vibration parameter estimation is proposed by operating iteration between the series compensation and the estimation. The correctness and effectiveness of the proposed method are verified by both simulation and calibrator experiments.
AB - A ground-based multiple-input multiple-output (GB-MIMO) radar is capable of performing structural health monitoring through vibration monitoring. However, when a target's vibration frequency is comparable to the image acquisition frequency of MIMO radar, its vibration can affect the vibration parameters estimation based on the pixel's phase series. In this letter, the impact of target vibration on the pixel series is analyzed. A robust method for vibration parameter estimation is proposed by operating iteration between the series compensation and the estimation. The correctness and effectiveness of the proposed method are verified by both simulation and calibrator experiments.
KW - Clutter removal (CR)
KW - differential interferometry
KW - ground-based multiple-input multiple-output (GB-MIMO) radar
KW - image series
KW - vibration monitoring
UR - http://www.scopus.com/inward/record.url?scp=85135765438&partnerID=8YFLogxK
U2 - 10.1109/LGRS.2022.3192915
DO - 10.1109/LGRS.2022.3192915
M3 - Article
AN - SCOPUS:85135765438
SN - 1545-598X
VL - 19
JO - IEEE Geoscience and Remote Sensing Letters
JF - IEEE Geoscience and Remote Sensing Letters
M1 - 3513105
ER -