Software GPS Receiver

Chakravarthy, Vasu; Tsui, J.B.Y.; Lin, David M.; Schamus, J.

doi:10.1007/pl00012887

Cited by 9 publications

(6 citation statements)

References 4 publications

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“…Driven by the increase of CPU performance GPS/GNSS software receivers have become more popular since they offer a flexible and extendible platform for developing and testing new applications (Chakravarthy et al 2001). A software radio cannot only mimic the functionality of its hardware counterpart, but allows the user to carry out the signal processing chain with unprecedented floating point precision.…”

Section: Introductionmentioning

confidence: 99%

A GPU based real-time GPS software receiver

et al. 2009

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Off-the-shelf graphics processing units provide low-cost massive parallel computing performance, which can be utilized for the implementation of a GPS software receiver. In order to realize a real-time capable system the crucial stages of the receiver should be optimized to suit the requirements of a parallel processor. Moreover, the receiver should be capable to provide wider correlation functions and provide easy access to the spectral domain of the signals. Thus, the most suitable correlation algorithm, which forms the core part of each receivers should be chosen and implemented on the graphics processor. Since the sampling rate of the received signal limits the real-time capabilities of the software radio it is necessary to determine an optimum value, considering that the precision of the observable varies with sampling bandwidth. We are going to discuss details and present our single frequency multi-channel implementation, which is capable of operating in real-time mode. Our implementation differs from other solutions by the wideness of the correlation function and allows simple handling of data in the spectral domain. Comparison with output from a commercial hardware receiver, which shares the antenna with the software radio, confirms the consistency and accuracy of our development.

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Section: Introductionmentioning

confidence: 99%

A GPU based real-time GPS software receiver

et al. 2009

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“…[20] introduces readers to the Beidou and GPS dual-system software receiver algorithms, and [21] explains how to build and operate multi-GNSS and multi-frequency software receivers with state-of-the-art techniques. Tutorials and descriptions of software GNSS receiver architectures can be found in several publications [22][23][24].…”

Section: Literature Reviewmentioning

confidence: 99%

A Flexible System-on-Chip Field-Programmable Gate Array Architecture for Prototyping Experimental Global Navigation Satellite System Receivers

Majoral,

Fernández-Prades,

Arribas

2023

Sensors

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Global navigation satellite system (GNSS) technology is evolving at a rapid pace. The rapid advancement demands rapid prototyping tools to conduct research on new and innovative signals and systems. However, researchers need to deal with the increasing complexity and integration level of GNSS integrated circuits (IC), resulting in limited access to modify or inspect any internal aspect of the receiver. To address these limitations, the authors designed a low-cost System-on-Chip Field-Programmable Gate Array (SoC-FPGA) architecture for prototyping experimental GNSS receivers. The proposed architecture combines the flexibility of software-defined radio (SDR) techniques and the energy efficiency of FPGAs, enabling the development of compact, portable, multi-channel, multi-constellation GNSS receivers for testing novel and non-standard GNSS features with live signals. This paper presents the proposed architecture and design methodology, reviewing the practical application of a spaceborne GNSS receiver and a GNSS rebroadcaster, and introducing the design and initial performance evaluation of a general purpose GNSS receiver serving as a testbed for future research. The receiver is tested, demonstrating the ability of the receiver to acquire and track GNSS signals using static and low Earth orbit (LEO)-scenarios, assessing the observables’ quality and the accuracy of the navigation solutions.

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“…The GPS receiver is software based and therefore the acquisition and tracking loops entirely reside in software. Though the software receivers are comparatively slower than hardware based systems, due to their flexibility they are still valuable especially for development (Brown, et al, 2000& Chakravarthy et al, 2001Tsui, 2000).…”

Section: Introductionmentioning

confidence: 99%

Analysis of INS Derived Doppler Effects on Carrier Tracking Loop

Babu¹,

Wang²

2005

J. Navigation

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Tracking dynamics on the GPS signal is still a big challenge to the receiver designer as the operating conditions are becoming more volatile. Optimizing the stand-alone system for dynamics generally degrades the accuracy of measurements. Therefore, an inertial navigation system (INS) is integrated with GPS to address this issue. Doppler derived from INS can be used to aid the carrier tracking loop for improving the performance under dynamic conditions. However, the derived doppler does not truly reflect the GPS signal doppler due to errors in inertial sensors. As the tracking loop bandwidth is reduced significantly in ultratightly integrated systems, any offsets in the aiding doppler creates undesired correlations in the tracking loop resulting in sub-optimal performance of the loop. The paper addresses this issue and also provides a mitigating mechanism to reduce the effects of incorrect estimates of the doppler. It is shown that doppler offsets resulting in a bias in the tracking loop can be appropriately modelled and removed. Mathematical algorithms pertaining to this are provided and the results are summarized. Simulations show that the bias due to aiding doppler offsets could be effectively addressed by appropriate modelling. K E Y W O R D S 1. INS derived Doppler. 2. Correlations. 3. Stochastic Modelling. I N T R O D U C T I O N.Continuous tracking of GPS signals in dynamic scenarios pose a significant challenge for the design of the tracking loops. Optimizing a design to suit a particular scenario will degrade its performance in other scenarios. For instance, increasing the carrier tracking loop bandwidth to receive dynamic signals will inadvertently affect the accuracy of the raw measurements (Jwo, 2001 ;Cox, 1982). Therefore, in a stand-alone GPS receiver, a trade-off design is required to perform optimally in all the scenarios. External sensor integration with the GPS is considered as an alternative to improve upon this, and INS is the ideal choice as it is not only autonomous but also provides attitude at higher data rates. Traditionally, the integration of GPS and INS were carried out in loosely and tightly coupled configurations (Brown & Hwang, 1997). While these systems offer significant advantages over the stand-alone GPS, nevertheless it is imperative to improve the performance wherever possible. With this point of view, the development of integration presently culminated in ultra-tight systems. This type of integration, also called deep level tracking, integrates the I (in-phase) and Q (quadrature) signals

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Software GPS Receiver

Cited by 9 publications

References 4 publications

A GPU based real-time GPS software receiver

A GPU based real-time GPS software receiver

A Flexible System-on-Chip Field-Programmable Gate Array Architecture for Prototyping Experimental Global Navigation Satellite System Receivers

Analysis of INS Derived Doppler Effects on Carrier Tracking Loop

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