Abstract
Distributed position and orientation systems (DPOSs) can provide abundant time-spatial information for interferometric synthetic aperture radar (InSAR) in airborne earth observation systems. However, some key error terms have not been taken into consideration in the traditional low-order error model, which suppresses the performance of the slave POS and further cannot meet the compensation precision of InSAR. To improve the compensation precision, a precise high-order error model with 45 dimensions was derived. Not only does it take into account the influence of scale factor errors and installation errors of the gyro and accelerometer, but it also makes use of random constants and a first-order Markov process model to describe the gyro drift and accelerometer bias. In addition, the flexure angle and its angular rate were added to the state variables of the transfer alignment model. Based on the model, a measurement equation for attitude errors that considers flexure was deduced. Then, a transfer alignment model based on the matching algorithm including position-velocity-attitude was designed. Finally, the proposed model was validated by simulated and real tests, and the experimental results show that its performance is obviously better than that of the traditional model.
Highlights
Position and orientation systems, as a kind of INS/global positioning system (GPS) integrated inertial navigation system in nature, can provide successive, abundant, highly precise and high-frequency time-spatial information for remote sensing loads[1,2]
Distributed position and orientation systems (DPOSs) are composed of a high-precision main POS, a few low-precision slave POSs, a computer system and postprocessing software
The calibration factor and installation errors of the inertial measurement unit (IMU) still exist after calibration compensation, so residual calibration error must be fully considered in error modeling
Summary
Distributed position and orientation systems (DPOSs) can provide abundant time-spatial information for interferometric synthetic aperture radar (InSAR) in airborne earth observation systems. In high-precision aerial remote sensing motion compensation, the influence of residual calibration and other factors must be fully considered, so it is necessary to establish an accurate high-order error model. The measurement errors of the slave IMU with low precision are the main factors that affect the accuracy of the DPOS. In this paper, considering more error terms, a high-precision and high-order transfer alignment model with 45 dimensions is derived. In order to provide more high-precision position information and improve the baseline accuracy, a matching algorithm including position-velocity-attitude is proposed. On this basis, the method is verified by simulation experiments and vehicle and flight tests.
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