GPS-aided method for platform attitude determination based on target images

Xu, Teng; Xu, Lijun; Tian, Xiangrui; Li, Xiaolu

doi:10.1364/ao.56.002378

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…However, there is no reference value to verify the experimental results. In Reference [17] a low-cost effective GPS-aided method based on target images is proposed to measure the platform attitude angles. But the real-time and availability of this method are limited.…”

Section: Introductionmentioning

confidence: 99%

A Novel GNSS Attitude Determination Method Based on Primary Baseline Switching for A Multi-Antenna Platform

et al. 2020

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The global navigation satellite system (GNSS)-based attitude determination system has attracted more and more attention with the advantages of having simplified algorithms, a low price and errors that do not accumulate over time. However, GNSS signals may have poor quality or lose lock in some epochs with the influence of signal fading and the multipath effect. When the direct attitude determination method is applied, the primary baseline may not be available (ambiguity is not fixed), leading to the inability of attitude determination. With the gradual popularization of low-cost receivers, making full use of spatial redundancy information of multiple antennas brings new ideas to the GNSS-based attitude determination method. In this paper, an attitude angle conversion algorithm, selecting an arbitrary baseline as the primary baseline, is derived. A multi-antenna attitude determination method based on primary baseline switching is proposed, which is performed on a self-designed embedded software and hardware platform. The proposed method can increase the valid epoch proportion and attitude information. In the land vehicle test, reference results output from a high-accuracy integrated navigation system were used to evaluate the accuracy and reliability. The results indicate that the proposed method is correct and feasible. The valid epoch proportion is increased by 16.2%, which can effectively improve the availability of attitude determination. The RMS of the heading, pitch and roll angles are 0.52°, 1.25° and 1.16°.

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Section: Introductionmentioning

confidence: 99%

A Novel GNSS Attitude Determination Method Based on Primary Baseline Switching for A Multi-Antenna Platform

et al. 2020

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“…Recently, GPS has been further explored and integrated with other technologies. A low-cost but effective GPS-aided method based on the target images was proposed to measure the platform attitude angles [10]. A cooperative navigation technique which exploits GPS and relative vision-based sensing was proposed to provide accurate unmanned aerial vehicle (UAV) attitude determination [11].…”

Section: Introductionmentioning

confidence: 99%

Multiantenna GPS-Over-Fiber System for Attitude Determination Using Phase-Derived Range Measurement

Wang

Jiang

et al. 2019

IEEE Photonics J.

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A multiantenna global positioning system over fiber (GPS-over-fiber) system with real-time line bias monitoring is proposed for attitude determination of vehicles. In the proposed system, GPS signal transmission from multiple antennas to the receiver is achieved via radio-over-fiber links. A phase-derived range measurement scheme is applied to monitor the line bias variation between different optical fibers. Then the carrier phase single difference (SD) model, instead of the carrier phase double difference (DD) model, is used to improve the pitch and roll precision of the GPS-based attitude determination system. Experimental results show that the precision of the pitch and roll is improved by over three times compared with the conventional DD model while the precision of the heading is not reduced.

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“…inertial navigation systems (INS) [14], global position system (GPS) [15] and electronic compass [16] or magnetometer [17]. GPS/image combination method is also an alternative [18]. However, both image-based and non-image-based methods have advantages and disadvantages.…”

Section: Introductionmentioning

confidence: 99%