ION GNSS+ 2014: IFEN Inc.
September 26, 2014
Mark Wilson, IFEN Inc., demonstrates the company’s new XS3 software receiver – which succeeds the scientific GNSS software-receiver SX-NSR […]
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Mark Wilson, IFEN Inc., demonstrates the company’s new XS3 software receiver – which succeeds the scientific GNSS software-receiver SX-NSR […]
IFEN has launched the SX3 receiver. The company’s previous scientific software receiver, the SX‐NSR, was subject to major upgrades, […]
Rockwell Collins has successfully received and tracked a Galileo satellite signal using a prototype GNSS receiver designed for secure […]
For the first time, position fixes in real time using signals from Galileo have been achieved with an open source software receiver. The milestone was achieved by a research team from the Statistical Inference Department here at the Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), which manages the development of the open source project GNSS-SDR.
The authors designed a full-constellation GNSS receiver, using a cost-effective, readily available, flexible front-end, wide enough to capture the frequency from 1555 MHz to 1607 MHz, more than 50MHz. This spectrum width takes into account BeiDou E2, Galileo E1, GPS L1, and GLONASS G1. In the course of their development, the authors used an external OCXO oscillator as the reference clock and reconfigured the platform, developing their own custom wide-band firmware.
An Answer for Precise Positioning ResearchIn this month’s “Innovation,” we look into the development and capabilities of one modern software GNSS receiver in an effort to answer the question “What is the ideal GNSS receiver for precise positioning research?”
Future safety-relevant driver assistant systems demand vehicle state estimations accurate enough to match the position within a road lane, which cannot be provided by standalone GPS. A promising approach to meet the requirements is the fusion of standalone or differential GNSS measurements with vehicle sensor data like odometers or accelerometers. To achieve deeper sensor integration, a software GNSS receiver was developed at the Institute of Flight Guidance (IFF) that is able to use dead reckoning sensors to support its signal acquisition. This article presents an approach to estimate the signal states during outages based on the tightly coupled vehicle state, which reduces the reacquisition time and significantly increases the signal availability.
To meet the challenges inherent in producing a low-cost, highly CPU-efficient software receiver, the multiple offset post-processing method leverages the unique features of software GNSS receivers to greatly improve the coverage and statistical validity of receiver testing compared to traditional, hardware-based testing setups, in some cases by an order of magnitude or more.
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