A transfer alignment method for airborne distributed POS with three-dimensional aircraft flexure angles

Gong, Xiaolin; Chen, Longjun; Fang, Jiancheng; Liu, Gang

doi:10.1007/s11432-017-9213-9

Cited by 10 publications

(4 citation statements)

References 25 publications

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“…Substituting Equation (15) into Equations (17) and (18), the deformation angle σ x and displacement vector ∆r yz could be expressed as:…”

Section: Velocity Error Equationmentioning

confidence: 99%

“…The model based on CKF is used, which features poor anti-interference performance [12,13]. Moreover, the mathematical modeling method has strong pertinence and poor applicability, and it is difficult to achieve precise modeling [14,15]. At the same time, as the following Figure 1 shows, the more nodes, the more the multistage time-varying lever arm error caused by flexible deformation cannot be ignored.…”

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confidence: 99%

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Airborne Distributed Position and Orientation System Transfer Alignment Method Based on Fiber Bragg Grating

Wang³

2020

Sensors

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With the demand for high resolution remote sensing, load array technology has gradually become an effective measure to improve imaging resolution. However, the external flow and internal engine vibration disturbance may lead to the flexible deformation of wings. The traditional rigid baseline error compensation method cannot solve the problem of serious coupling movement error caused by flexible deformation. To address the problem, a transfer alignment model based on fiber Bragg grating for distributed position and orientation system is proposed in this paper. Firstly, based on the multidimensional requirements of flexible deformation information, the layout scheme of fiber Bragg grating was designed, then the continuous strain in the wing surface was obtained after the quadratic fitting of strain measured by fiber Bragg gratings, and the deformation displacement and angle are calculated. Thirdly, flexible deformation compensation for distributed position and orientation system based on fiber Bragg grating was studied. The state equation including position error, velocity error, misalignment angle, and inertial device error was established. The position and attitude information compensated by the flexible lever arm was used as the quantitative measurement. The filtering estimation improved the measurement accuracy of the slave inertial navigation systems. At last, the experiment was carried out and showed that the accuracy of the transfer alignment has been improved significantly. the distributed POS (DPOS) [6,7]. DPOS is composed of a high-precision master IMU, a navigation computer, a global positioning system, and a number of low-precision sub-IMUs. IMU is installed at the different nodes of the carrier, and transfer alignment of each sub-IMU is carried out using the high-precision navigation information obtained from the main POS, which can provide accurate position and orientation information for all the phase points of distributed SAR and other kinds of loads, and achieve high-precision imaging [8].The subarray antenna is often installed at different wing nodes, which is limited by volume weight and even cost and conducts distributed motion measurement often using MEMS-IMU, and its precision is far lower than that of the main system. When the array antenna SAR is three-dimensional imaging, not only is the motion compensation required at each node, but also the required precision of the baseline length between nodes is very high [9]. At present, most of the technical means are accomplished by mathematical modeling or filtering, for example, the second-order Markov process is used to describe the deformation process, in which the parameters are often selected through experience, and the aerodynamics model is used to analyze the wing model [10,11]; the process is very complex, and the wing material, vibration frequency and wing length should be considered. The model based on CKF is used, which features poor anti-interference performance [12,13]. Moreover, the mathematical modeling method has strong pertinence ...

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“…Substituting Equation (15) into Equations (17) and (18), the deformation angle σ x and displacement vector ∆r yz could be expressed as:…”

Section: Velocity Error Equationmentioning

confidence: 99%

mentioning

confidence: 99%

Airborne Distributed Position and Orientation System Transfer Alignment Method Based on Fiber Bragg Grating

Wang³

2020

Sensors

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“…Accurate baseline measurement is mainly determined by an accurate model of wing deformation. Until now, some studies have idealized the wing deformation as a Markov process [5][6][7] and some parameters in the Markov model have been confirmed by experience. Liu et al use elastic mechanics to simulate the process of wing deformation [8].…”

Section: Introductionmentioning

confidence: 98%

A Flexible Baseline Measuring System Based on Optics for Airborne DPOS

Liu

Wen

Wang

2021

Sensors

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Three-dimensional imaging for multi-node interferometric synthetic aperture radar (InSAR) or multi-task imaging sensors has become the prevailing trend in the field of aerial remote sensing, which requires multi-node motion information to carry out the motion compensation. A distributed position and orientation system (DPOS) can provide multi-node motion information for InSAR by transfer alignment technology. However, due to wing deformation, the relative spatial relationship between the nodes will change, which will lead to lower accuracy of the transfer alignment. As a result, the flexible baseline between the nodes affects the interferometric phase error compensation and further deteriorates the imaging quality. This paper proposes a flexible baseline measuring system based on optics, which achieves non-connect measurement and overcomes the problem that it is difficult to build an accurate wing deformation model. An accuracy test was conducted in the laboratory, and results showed that the measurement accuracy of the baseline under static and dynamic conditions was less than 0.3 mm and 0.67 mm, respectively.

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“…However, due to the complexity and uncertainty of the wing deformation, the mathematical model, such as Markov process, is hardly able to describe the actual deformation, which will restrain the transfer alignment accuracy [20]. Moreover, this transfer alignment method will be affected by the motion error of POS and reduce the accuracy.…”

Section: Introductionmentioning

confidence: 99%

Design and Development of Array POS for Airborne Remote Sensing Motion Compensation

Bao

et al. 2022

Remote Sensing

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Multi-antenna airborne remote sensing systems have received more attention recently because they can realize high-resolution three-dimensional (3-D) imaging, such as array Synthetic Aperture Radar (SAR). Their high-precision imaging needs multi-antenna motion and relative motion between antennas. However, the existing facility and technology hardly meet the motion measurement precision demand of array SAR. To solve this problem, an array Position and Orientation System (POS) for airborne remote sensing motion compensation is designed and developed. It is composed of a high-precision POS, several small-size Inertial Measurement Units (IMU), and a 6-D deformation measurement system based on Fiber Bragg Grating (FBG) sensors. Firstly, the transfer alignment method based on 6-D deformation is used to measure the relative motion between array POS. Then, the motion conversion method from array POS to array SAR is presented to obtain the multi-antenna motion and relative motion between antennas. Finally, the ground experiment results identify that the accuracies of multi-antenna position, multi-antenna attitude, and flexible baseline length between antennas are superior to 3 cm, 0.01°, and 0.1 mm, respectively, which can meet the motion measurement precision demand of array SAR.

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A transfer alignment method for airborne distributed POS with three-dimensional aircraft flexure angles

Cited by 10 publications

References 25 publications

Airborne Distributed Position and Orientation System Transfer Alignment Method Based on Fiber Bragg Grating

Airborne Distributed Position and Orientation System Transfer Alignment Method Based on Fiber Bragg Grating

A Flexible Baseline Measuring System Based on Optics for Airborne DPOS

Design and Development of Array POS for Airborne Remote Sensing Motion Compensation

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