Reduced navigation data for a fast first fix

Anghileri, Marco; Paonni, Matteo; Gkougkas, Elias; Eissfeller, Bernd

doi:10.1109/navitec.2012.6423105

Cited by 5 publications

(6 citation statements)

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“…The author also attempts to combine orbital propagation along with duty-cycling. Anghileri et al present a concept aiming at improving the TTFF performance of navigation receivers by defining a set of clock and ephemeris data (CED) with reduced size [1]. This newly defined message types could be added into the transmission schemes of today's and future GNSS satellites to reduce the TTFF.…”

Section: Related Workmentioning

confidence: 99%

“…However, attaining a short TTFF in space-borne receivers can be tricky unlike in terrestrial systems where cell tower data can be used to achieve a faster fix [2,24]. During TTFF, most of the energy is consumed for searching the GPS satellites and acquiring the signals [1]. Unless the local time and information about the GPS constellation are known a priori, the receiver, to get the first fix, has to search for the visible GPS satellites, estimate the Doppler shifts in signals of the satellites, and correlate the pseudo-random noise (PRN) codes that are unique to each GPS satellite.…”

mentioning

confidence: 99%

“…Majority of the acquisition time is spent on searching for a GPS satellite's PRN code in the presence of the Doppler shift and time to read the navigation data [1]. The high Doppler shifts in the GPS signals are due to the high orbital velocities (around 7.8 km/s at 500 km altitude) of the GPS receivers mounted on satellites and the GPS satellites (around 3.9 km/s).…”

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confidence: 99%

“…To demonstrate this, we also focus on designing and developing a low-power GPS receiver (employing an off the shelf GPS chip) for satellite applications. To this end, we design a space qualified, low-power GPS receiver subsystem, called µGPS, that is energy-efficient 1 . The novelty of this work mainly lies in the design of low-cost, low-power miniaturized GPS receiver -µGPS.…”

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confidence: 99%

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Hummingbird

Narayana

Prasad

Rao

et al. 2020

Proceedings of the 26th Annual International Conference on Mobile Computing and Networking

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Global Positioning System is a widely adopted localization technique. With the increasing demand for small satellites, the need for a low-power GPS for satellites is also increasing. To enable many state-of-the-art applications, the exact position of the satellites is necessary. However, building low-power GPS receivers which operate in low earth orbit pose significant challenges. This is mainly due to the high speed (∼7.8 km/s) of small satellites. While dutycycling the receiver is a possible solution, the high relative Doppler shift between the GPS satellites and the small satellite contributes to the increase in Time To First Fix (TTFF), thus increasing the energy consumption. Further, if the GPS receiver is tumbling along with the small satellite on which it is mounted, longer TTFF may lead to no GPS fix due to disorientation of the receiver antenna. In this paper, we elucidate the design of a low-cost, low-power GPS receiver for small satellite applications. We also propose an energy optimization algorithm called F 3 to improve the TTFF which is the main contributor to the energy consumption during cold start. With simulations and in-orbit evaluation from a launched nanosatellite with our µGPS and high-end GPS simulators, we show that up to 96.16% of energy savings (consuming only ∼ 1 25 th energy compared to the state of the art) can be achieved using our algorithm without compromising much (∼10 m) on the navigation accuracy. The TTFF achieved is at most 33 s. CCS CONCEPTS• Theory of computation → Mathematical optimization; • Hardware → Sensor applications and deployments.

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Section: Related Workmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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confidence: 99%

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Hummingbird

Narayana

Prasad

Rao

et al. 2020

Proceedings of the 26th Annual International Conference on Mobile Computing and Networking

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“…On the other hand, as seen from the literature review, little attention has been devoted to the new GNSS message coding algorithms, and thus only very few research studies have been found in the literature. (Anghileri et al , 2011) examined the performance of LDPC and turbo codes used in the present satellite communication standard, not considering GNSS, under additive white Gaussian noise (AWGN) and LMS channels (Anghileri et al , 2011). In particular, they concentrated on a subset composed of LDPC and turbo codes.…”

Section: Introductionmentioning

confidence: 99%

A comparison analysis on forward error correction technology: a future perspective for GNSS

Suzer

Oktal

2023

AEAT

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Purpose The main aim of this study is to elaborately examine the error correction technology for global navigation satellite system (GNSS) navigation messages and to draw a conceptual decision support framework related to the modernization of the GNSS and other systems. Design/methodology/approach The extensive simulation model developed in Matrix Laboratory (MATLAB) is used to evaluate the performance of forward error correction (FEC) codes such as Hamming, Bose–Chaudhuri–Hocquenghem, convolutional, turbo, low-density parity check (LDPC) and polar codes under different levels of noise. Findings The performance and robustness of the aforementioned algorithms are compared based on the bit length, complexity and execution time of the GNSS navigation message. In terms of bit error rate, LDPC coding exhibits more ability in the robustness of the navigation message, while polar code gives better results according to the execution time. Practical implications In view of future new GNSS signals and message design, the findings of this paper may provide significant insight into navigation message modernization and design as an important part of GNSS modernization. Originality/value To the best of the authors’ knowledge, this is the first study that conducts a direct comparison of various FEC algorithms on GNSS navigation message performance against noise, taking into consideration turbo and newly developed polar codes.

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