Inertial Navigation System Aiding with Orbcomm LEO Satellite Doppler Measurements

Morales, Joshua J.; Khalife, Joe; Abdallah, Ali A.; Ardito, Christian T.; Kassas, Zak M.

doi:10.33012/2018.16059

Cited by 21 publications

(7 citation statements)

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“…Farhangian et al designed a LEO satellite receiver to perform local Doppler measurements using downlink signals from multiple LEO constellations in an opportunistic way [28]. The feasibility of this approach was demonstrated using Iridium NEXT, GlobalStar and Orbcomm satellites in both simulations and experimental setups [29], [30], [31]. Moreover, the fusion of mixed SoOP has been proven beneficial in weak signal environments as well [32].…”

Section: B Leomentioning

confidence: 99%

A Survey on IoT Positioning Leveraging LPWAN, GNSS, and LEO-PNT

Janssen

Koppert²,

Berkvens

et al. 2023

IEEE Internet Things J.

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Location data is an important piece of information in many Internet of Things (IoT) applications. Global Navigation Satellite Systems (GNSS) have been established as the standard for large-scale localization. However, the rapidly increasing need to locate IoT devices in recent years has exposed several shortcomings of traditional GNSS approaches. These limitations include the weak signal propagation in indoor and dense environments, the inability to calculate or obtain a location remotely, and a high energy consumption. Therefore, several industries have shown an increasing demand for alternative and innovative positioning solutions that are more suited in an IoT context. Hence, we conduct a survey on state-of-the-art, large-scale and energy-efficient positioning techniques for IoT applications. More specifically, we analyze the performance of terrestrial-based Low Power Wide Area Network (LPWAN) techniques, novel GNSS solutions, and innovative positioning techniques leveraging Low Earth Orbit (LEO) satellite constellations. A comparison is made in terms of 16 dimensions including energy consumption, positioning accuracy, coverage, and scalability. The analysis shows that interoperability between technologies is key to enable energy-efficient communication and positioning applications in the emerging market of satellite IoT.

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Section: B Leomentioning

confidence: 99%

A Survey on IoT Positioning Leveraging LPWAN, GNSS, and LEO-PNT

Janssen

Koppert²,

Berkvens

et al. 2023

IEEE Internet Things J.

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“…Aiding the usual INS by EKF-based Doppler positioning method has been discussed and tested in some articles. In 28 , pseudorange rate measurements obtained from multiple Orbcomm satellites are used to navigate an aerial vehicle (AV). Also, designing an unscented Kalman filter (UKF) with Doppler information fusion is studied in 29 .…”

Section: Literature Reviewmentioning

confidence: 99%

High-order pseudorange rate measurement model for multi-constellation LEO/INS integration: Case of Iridium-NEXT, Orbcomm, and Globalstar

Farhangian

Landry

2022

Proceedings of the Institution of Mechanical Engineers, Part G:

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An inertial navigation method augmented by Signals of Opportunity (SOPs) of three low earth orbit (LEO) constellations is presented. The downlink signal characteristics of the Iridium-NEXT, Orbcomm, and Globalstar LEO constellations are discussed. Furthermore, a tightly coupled integration model of the inertial navigation system and high-order LEO-SOP Doppler measurement model is designed. We presented a second-order measurement model of the LEO-SOP/INS integration using a second-order extended Kalman filter in which all the unknown states of the receiver and LEO satellites are estimated. The state parameters of the second-order EKF model are the position and velocity of both the receiver and the satellites, as well as the receiver’s orientation, the clock bias, and clock drift of the LEO satellites, and the constant bias of the Inertial Measurement Unit. An experiment is performed using a ground aerial vehicle equipped with a Multi-Constellation Software-Defined Receiver (MC-SDR). The Doppler measurements are provided by observing the downlinks from multiple satellites of the Iridium-NEXT and Orbcomm constellations. As well, the predicted measurement of a Globalstar satellite is used in the designed model. The results show the positioning accuracy of less than 10 m being achieved during a dynamic ground experiment, representing an 82% precision gain as compared against the regular single constellation EKF method.

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“…Furthermore, the augmentation of GNSS and LEO satellites was analyzed in [ 12 ], as a source of space-based monitoring and useful information for Nav-SOP applications. Many positioning methods were studied with some kind of LEO satellite, namely, Doppler positioning with Orbcomm satellites [ 13 ], Iridium satellites [ 14 ], and Iridium positioning in weak signal environments [ 15 ]. These methods could improve the positioning precision in the short-term, however; due to the short visibility time duration of each satellite, the long-term robustness is still under serious investigation.…”

Section: Related Workmentioning

confidence: 99%

Multi-Constellation Software-Defined Receiver for Doppler Positioning with LEO Satellites

Farhangian

Landry

2020

Sensors

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A Multi-Constellation Software-Defined Receiver (MC-SDR) is designed and implemented to extract the Doppler measurements of Low Earth Orbit (LEO) satellite’s downlink signals, such as Orbcomm, Iridium-Next, Globalstar, Starlink, OneWeb, SpaceX, etc. The Doppler positioning methods, as one of the main localization algorithms, need a highly accurate receiver design to track the Doppler as a measurement for Extended Kalman Filter (EKF)-based positioning. In this paper, the designed receiver has been used to acquire and track the Doppler shifts of two different kinds of LEO constellations. The extracted Doppler shifts of one Iridium-Next satellite as a burst-based simplex downlink signal and two Orbcomm satellites as continuous signals are considered. Also, with having the Two-Line Element (TLE) for each satellite, the position, and orbital elements of each satellite are known. Finally, the accuracy of the designed receiver is validated using an EKF-based stationary positioning algorithm with an adaptive measurement matrix. Satellite detection and Doppler tracking results are analyzed for each satellite. The positioning results for a stationary receiver showed an accuracy of about 132 m, which means 72% accuracy advancements compared to single constellation positioning.

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Inertial Navigation System Aiding with Orbcomm LEO Satellite Doppler Measurements

Cited by 21 publications

References 0 publications

A Survey on IoT Positioning Leveraging LPWAN, GNSS, and LEO-PNT

A Survey on IoT Positioning Leveraging LPWAN, GNSS, and LEO-PNT

High-order pseudorange rate measurement model for multi-constellation LEO/INS integration: Case of Iridium-NEXT, Orbcomm, and Globalstar

Multi-Constellation Software-Defined Receiver for Doppler Positioning with LEO Satellites

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