Preliminary result of a novel yaw and pitch error estimation method for UAV-based FMCW InSAR

The performance of FMCW InSAR system mounted on small platforms can be considerably degraded by trajectory and attitude errors, which are mainly caused by platform's small size, low flight height and atmospheric turbulance. Moreover, we cannot use large-volume, heavy-weight and high-accuracy in...

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Bibliographic Details
Main Authors: Xikai Fu, Maosheng Xiang, Bingnan Wang, Shuai Jiang, Jie Wang
Format: Conference Proceeding
Language:English
Subjects:
Doppler effect
Error analysis
Error Estimation
FMCW InSAR
Frequency modulation
Logic gates
Pitch
Radar
Radar antennas
Remote sensing
Yaw
Online Access:Request full text
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Summary:The performance of FMCW InSAR system mounted on small platforms can be considerably degraded by trajectory and attitude errors, which are mainly caused by platform's small size, low flight height and atmospheric turbulance. Moreover, we cannot use large-volume, heavy-weight and high-accuracy inertial measurement units due to the limit of platform's capability. In view of this problem, we proposed a novel yaw and pitch error estimation method using range-variant Doppler centroid to improve the accuracy of INS. Firstly, apply range compression and range cell migration correction to raw data using low-accuracy INS/DGPS data. Secondly, estimate Doppler centroid for each range gate. Thirdly, extract yaw and pitch error using total least square according to the range-variant model between Doppler centroid and atitude error. The implementation of proposed method on experimental FMCW InSAR data validates the effectiveness and reliability of it.
ISSN:2153-7003
DOI:10.1109/IGARSS.2017.8126993