Airborne Position and Orientation System for Aerial Remote Sensing

Li, Jianli; Fang, Jiancheng; Lu, Zixing; Bai, Lijian

doi:10.1155/2017/8721391

Cited by 4 publications

(5 citation statements)

References 25 publications

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“…Since the straight imaging area is meaningful to synthetic aperture radar (SAR) imaging, which needs high-precision measurement information, the experimental imaging area data are analyzed in the dynamic case. The initial attitude is calculated through POS date processing software [5]. The proposed method, TFS smoothing based on DD2 filter, and the existing method, RTS smoothing based on Kalman filter, are used to obtain the results of land vehicle POS.…”

Section: Experiments and Analysismentioning

confidence: 99%

“…Global navigation satellite system (GNSS)-based attitude determination is a valuable technique for the orientation estimation of remote sensing platforms [2,3] that can derive the instantaneous attitude of a multi-antenna platform through ambiguity resolution and precise baseline estimation [4]. In order to avoid signal occlusion and improve the precision, the position and orientation system (POS) was developed, which is an integrated measurement system integrating the strap-down inertial navigation system (SINS) and GNSS [5]. POS combines the advantages of SINS and GNSS, is completely autonomous, and can avoid signal occlusion for land vehicles, especially in tunnels [6].…”

Section: Introductionmentioning

confidence: 99%

“…POS combines the advantages of SINS and GNSS, is completely autonomous, and can avoid signal occlusion for land vehicles, especially in tunnels [6]. The POS is mainly composed of an inertial measurement unit (IMU), GNSS, POS computer system, and post-processing software, which is used to measure and compensate the motion information for some observation loads of ground surveying [5]. The POS can provide high-precision time-spatial position and attitude reference to compensate for motion and phase error of the imaging sensors.…”

Section: Introductionmentioning

confidence: 99%

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A nonlinear two-filter smoothing estimation method based on DD2 filter for land vehicle POS

Zou

2018

Meas. Sci. Technol.

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Land vehicle position and orientation systems (POSs) are playing an important role in ground surveying. In order to solve the problem of nonlinear error and obtain high-precision motion parameters in post-processing, a nonlinear two-filter smoothing estimation method based on second-order divided difference filter (DD2) for land vehicle POS is proposed. The DD2, based on Stirling interpolation, is applied to solve the nonlinear problem in the forward filter. The information filter is adopted to independently estimate the states and error covariance matrices in the backward filter. Then the forward and backward results are combined, which makes full use of all measurement information and also uses more model information. Therefore, more accurate estimation results for the POS can be obtained. Finally, an experiment is carried out, and the results show that the attitude precision of a land vehicle POS can be effectively improved through the proposed method.

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Section: Experiments and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A nonlinear two-filter smoothing estimation method based on DD2 filter for land vehicle POS

Zou

2018

Meas. Sci. Technol.

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“…Li et al's research introduced the working principle and components of airborne POS. Some key technologies of airborne POS were summarized, which included error calibration and compensation, initial alignment, lever arm error modeling, time synchronization, and comprehensive estimation methods [8]. Niu et al proposed a novel indoor pedestrian POS data solution that could provide continuous localization through the correction of control points to maintain its absolute high accuracy [9].…”

Section: Introductionmentioning

confidence: 99%

Optimization Method of High-Precision Control Device for Photoelectric Detection of Unmanned Aerial Vehicle Based on POS Data

Liu

Yang³

2022

Scientific Programming

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With the rapid development of modern technology, due to the light-weight, small size, and good concealment, unmanned aerial vehicle (UAV) has received much attention from the society and has been vigorously promoted. Photoelectric tracking detection system is an important means in the field of modern detection. The combination of a UAV and photoelectric detection system can effectively play an important role in reconnaissance and exploration, target positioning, communication, and navigation. At present, the relevant personnel have higher and higher requirements for the accuracy of the photoelectric detection function of UAV, and the original POS data relied on by the existing photoelectric detection devices of UAV has systematic errors, which leads to the low accuracy of photoelectric detection control. Therefore, in order to achieve the purpose of improving the high-precision control of the photoelectric detection device of UAV, this paper designed an optimization method for the high-precision control device of photoelectric detection of UAV based on POS data. Firstly, the improved PID control algorithm is applied to the optimization of the UAV control device, and secondly the error correction model is established by analyzing the error source, and the original POS data is corrected by the model. This paper used the designed high-precision control device optimization algorithm and the traditional algorithm to compare the stability control experiments of the UAV platform, respectively. The experimental results showed that the application of the improved UAV photoelectric detection control device optimization method could effectively improve the control device optimization accuracy of UAV photoelectric detection by 8.23%, which was conducive to the efficient implementation of the project.

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“…For the loosely-coupled integration method discussed here, the positions and velocities of the SINS and GPS solutions are compared, and the resulting differences are used as the measurement values for a Kalman filter [7,8]. Due to the extremely high positioning accuracy of a CDGPS, typically 1–2 cm plus 1 ppm of baseline separation in real-time kinematic (RTK) or post-processing [9,10], many overlooked errors must be treated seriously. Among these, the time and space asynchronies are the dominant error sources.…”

Section: Introductionmentioning

confidence: 99%

Automatic Estimation of Dynamic Lever Arms for a Position and Orientation System

Liu

et al. 2018

Sensors

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An inertially stabilized platform (ISP) is generally equipped with a position and orientation system (POS) to isolate attitude disturbances and to focus surveying sensors on interesting targets. However, rotation of the ISP will result in a time-varying lever arm between the measuring center of the inertial measurement unit (IMU) and the phase center of the Global Positioning System (GPS) antenna, making it difficult to measure and provide compensation. To avoid the complexity of manual measurement and improve surveying efficiency, we propose an automatic estimation method for the dynamic lever arm. With the aid of the ISP encoder data, we decompose the variable lever arm into two constant lever arms to be estimated on line. With a complete 21-dimensional state Kalman filter, we accurately and simultaneously accomplish navigation and dynamic lever arm calibration. Our observability analysis provides a valuable insight into the conditions under which the lever arms can be estimated, and we use the error distribution method to reveal which error sources are the most influential. The simulation results demonstrate that the dynamic lever arm can be estimated to within [0.0104; 0.0110; 0.0178] m, an accuracy that is equivalent to the positioning accuracy of Carrier-phase Differential GPS (CDGPS).

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Airborne Position and Orientation System for Aerial Remote Sensing

Cited by 4 publications

References 25 publications

A nonlinear two-filter smoothing estimation method based on DD2 filter for land vehicle POS

A nonlinear two-filter smoothing estimation method based on DD2 filter for land vehicle POS

Optimization Method of High-Precision Control Device for Photoelectric Detection of Unmanned Aerial Vehicle Based on POS Data

Automatic Estimation of Dynamic Lever Arms for a Position and Orientation System

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