Low-Cost Antenna Attitude Estimation by Fusing Inertial Sensing and Two-Antenna GPS for Vehicle-Mounted Satcom-on-the-Move

Wu, Zongwei; Mao, Yao; Ma, Hongguang; Jia, Weimin; Tian, Fanghao

doi:10.1109/tvt.2012.2229306

Cited by 55 publications

(30 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Traditionally, the high precision inertial navigation system [25] is used to obtain the attitude information in UAV military applications. However, the cost is not affordable for the civil applications.…”

Section: B Problem Formulationmentioning

confidence: 99%

Beam Tracking for UAV Mounted SatCom on-the-Move With Massive Antenna Array

Zhao

Gao

et al. 2018

IEEE J. Select. Areas Commun.

Self Cite

162

View full text Add to dashboard Cite

Unmanned aerial vehicle (UAV)-satellite communication has drawn dramatic attention for its potential to build the integrated space-air-ground network and the seamless wide-area coverage. The key challenge to UAV-satellite communication is its unstable beam pointing due to the UAV navigation, which is a typical SatCom on-the-move scenario. In this paper, we propose a blind beam tracking approach for Ka-band UAVsatellite communication system, where UAV is equipped with a large-scale antenna array. The effects of UAV navigation are firstly released through the mechanical adjustment, which could approximately point the beam towards the target satellite through beam stabilization and dynamic isolation. Specially, the attitude information can be realtimely derived from data fusion of lowcost sensors. Then, the precision of the beam pointing is blindly refined through electrically adjusting the weight of the massive antennas, where an array structure based simultaneous perturbation algorithm is designed. Simulation results are provided to demonstrate the superiority of the proposed method over the existing ones.Index Terms-UAV, SatCom on-the-move, beam tracking, mechanical adjustment, electrical adjustment, massive antenna array. ). 1 Geosynchronous satellite is usually used for UAV-satellite communication since its location relative to earth keeps invariant.

show abstract

Section: B Problem Formulationmentioning

confidence: 99%

Beam Tracking for UAV Mounted SatCom on-the-Move With Massive Antenna Array

Zhao

Gao

et al. 2018

IEEE J. Select. Areas Commun.

Self Cite

162

View full text Add to dashboard Cite

show abstract

“…Attitude estimation is essential information for control of micronavigation system, such as Micro Autonomous Vehicle, Micro Aerial Vehicle (MAV), and Guided Munition Shell [1][2][3][4]. In these specific applications, the size and cost are limited.…”

Section: Introductionmentioning

confidence: 99%

“…Nowadays, the different attitude estimation algorithms have been developed, which are employed to Micro IMUs and integrated with magnetic sensors, Global navigation satellite system (GNSS) receiver, and other sensors [1][2][3][4][10][11][12][13][14][15][16][17]. Among them, representative researches like multiinformation fusion technique utilize the different MEMS sensor [10][11][12], different Kalman filtering methods for attitude estimation [3,[13][14][15], and methodology combining data fusion with filtering strategies [16,17].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Attitude Determination Method by Fusing Single Antenna GPS and Low Cost MEMS Sensors Using Intelligent Kalman Filter Algorithm

Wang

Song

Han

et al. 2017

Mathematical Problems in Engineering

View full text Add to dashboard Cite

For meeting the demands of cost and size for micronavigation system, a combined attitude determination approach with sensor fusion algorithm and intelligent Kalman filter (IKF) on low cost Micro-Electro-Mechanical System (MEMS) gyroscope, accelerometer, and magnetometer and single antenna Global Positioning System (GPS) is proposed. The effective calibration method is performed to compensate the effect of errors in low cost MEMS Inertial Measurement Unit (IMU). The different control strategies fusing the MEMS multisensors are designed. The yaw angle fusing gyroscope, accelerometer, and magnetometer algorithm is estimated accurately under GPS failure and unavailable sideslip situations. For resolving robust control and characters of the uncertain noise statistics influence, the high gain scale of IKF is adjusted by fuzzy controller in the transition process and steady state to achieve faster convergence and accurate estimation. The experiments comparing different MEMS sensors and fusion algorithms are implemented to verify the validity of the proposed approach.

show abstract

“…52, NO. 4 AUGUST 2016 4 technology based low-cost SINS [12,13], due to their inability to estimate anything other than the attitude.…”

mentioning

confidence: 99%

Optimization-based alignment for strapdown inertial navigation system: comparison and extension

Chang

2016

IEEE Trans. Aerosp. Electron. Syst.

View full text Add to dashboard Cite

Low-Cost Antenna Attitude Estimation by Fusing Inertial Sensing and Two-Antenna GPS for Vehicle-Mounted Satcom-on-the-Move

Cited by 55 publications

References 23 publications

Beam Tracking for UAV Mounted SatCom on-the-Move With Massive Antenna Array

Beam Tracking for UAV Mounted SatCom on-the-Move With Massive Antenna Array

Attitude Determination Method by Fusing Single Antenna GPS and Low Cost MEMS Sensors Using Intelligent Kalman Filter Algorithm

Optimization-based alignment for strapdown inertial navigation system: comparison and extension

Contact Info

Product

Resources

About