DGPS/IMU integration-based geolocation system: Airborne experimental test results

Ahn, Hyo‐Sung; Won, Chang-Hee

doi:10.1016/j.ast.2009.06.003

Cited by 31 publications

(14 citation statements)

References 12 publications

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“…Cheap measurement devices such as accelerometers, gyroscopes, or magnetometers are widely used in various navigations systems of ground and aerial vehicles in order to minimize the costs of measurement systems (Ahn and Won, 2009;Grewal and Andrews, 2008). In addition, they constitute one of the most important parts of unmanned aerial vehicles autopilots, as their reliability is crucial to control systems performance (Ali and Ullag Baig Mirza, 2010).…”

Section: Introductionmentioning

confidence: 99%

Kalman Filter Realization for Orientation and Position Estimation on Dedicated Processor

Romaniuk

Gosiewski

2014

Acta Mechanica Et Automatica

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This paper presents Kalman filter design which has been programmed and evaluated in dedicated STM32 platform. The main aim of the work performed was to achieve proper estimation of attitude and position signals which could be further used in unmanned aeri-al vehicle autopilots. Inertial measurement unit and GPS receiver have been used as measurement devices in order to achieve needed raw sensor data. Results of Kalman filter estimation were recorded for signals measurements and compared with raw data. Position actualization frequency was increased from 1 Hz which is characteristic to GPS receivers, to values close to 50 Hz. Furthermore it is shown how Kalman filter deals with GPS accuracy decreases and magnetometer measurement noise.

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Section: Introductionmentioning

confidence: 99%

Kalman Filter Realization for Orientation and Position Estimation on Dedicated Processor

Romaniuk

Gosiewski

2014

Acta Mechanica Et Automatica

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“…Compared with the traditional SINS/GPS integrated system, it is small, lightweight, and is also available to provide highprecision position, velocity, and attitude information for airborne remote sensing applications including spectrometer (such as Temporally and Spatially Modulated Fourier Transform Imaging Spectrometer (TSMFTIS)), Synthetic Aperture Radar (SAR), Light Detection and Ranging (LiDAR), optical camera, and various other land and marine applications. It has been widely used as a key equipment to further improve imaging quality and efficiency of airborne remote sensing systems [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

A Nonlinear Multiparameters Temperature Error Modeling and Compensation of POS Applied in Airborne Remote Sensing System

Wang

Feng

et al. 2014

Journal of Applied Mathematics

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The position and orientation system (POS) is a key equipment for airborne remote sensing systems, which provides high-precision position, velocity, and attitude information for various imaging payloads. Temperature error is the main source that affects the precision of POS. Traditional temperature error model is single temperature parameter linear function, which is not sufficient for the higher accuracy requirement of POS. The traditional compensation method based on neural network faces great problem in the repeatability error under different temperature conditions. In order to improve the precision and generalization ability of the temperature error compensation for POS, a nonlinear multiparameters temperature error modeling and compensation method based on Bayesian regularization neural network was proposed. The temperature error of POS was analyzed and a nonlinear multiparameters model was established. Bayesian regularization method was used as the evaluation criterion, which further optimized the coefficients of the temperature error. The experimental results show that the proposed method can improve temperature environmental adaptability and precision. The developed POS had been successfully applied in airborne TSMFTIS remote sensing system for the first time, which improved the accuracy of the reconstructed spectrum by 47.99%.

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“…The requirements of IMU used in POS are fundamentally different from the traditional INS [5]. It can accurately measure the position, velocity, as well as attitude with wide frequency bandwidth [6] and [7]. The wide frequency bandwidth motion usually occurs during the airborne imaging payloads are mechanizing.…”

Section: Introductionmentioning

confidence: 99%

Dither signal removal of ring laser gyro POS based on combined digital filter

Chen

Chu

2012

2012 8th IEEE International Symposium on Instrumentation and Control Technology (ISICT) Proceedings

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Dither signal removal is the key foundation of high precision mechanically dithered Ring Laser Gyro (RLG) Position and Orientation System (POS). The present dither signal removal methods limited the gyro application in real-time measurement. The demands of RLG POS and the characteristics of linear phase FIR filter, low order IIR bandstop filter and IIR lowpass filter was Analyzed. A combined digital filter was adopted to remove dither signal. The combined digital filter consisted of a low order IIR bandstop filter, a low order IIR lowpass filter and a linear phase FIR lowpass filter. The low order IIR bandstop filter designed by Butterworth method can remove part of the dither signal which has the strongest power. With a low order Butterworth IIR lowpass filter, the combined filter can greatly reduce the high frequency noise. They both can reduce the order of FIR lowpass filter and the average group delay. To ensure high performance of the combined filter in low frequency bandwidth, designed a linear phase FIR lowpass filter. The experimental results show that a combined digital filter including a second order IIR bandstop filter, a 4th order IIR lowpass filter and a 42th order linear phase FIR lowpass filter can remove the dither signal effectively. Compared with an 89th order FIR filter, the computation complexity of the combined digital filter reduces by about 40%, and the group delay is decreased by about 40%. The combined digital filter reduces the hardware requirement of RLG POS and improves the real-time measurement performance.

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DGPS/IMU integration-based geolocation system: Airborne experimental test results

Cited by 31 publications

References 12 publications

Kalman Filter Realization for Orientation and Position Estimation on Dedicated Processor

Kalman Filter Realization for Orientation and Position Estimation on Dedicated Processor

A Nonlinear Multiparameters Temperature Error Modeling and Compensation of POS Applied in Airborne Remote Sensing System

Dither signal removal of ring laser gyro POS based on combined digital filter

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