Symmetricom Delivers Precise Time to Next-Generation Smart Grid
January 28, 2013
Symmetricom, Inc., a precision time and frequency technologies company, today announced a new timing solution that meets the […]
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Symmetricom, Inc., a precision time and frequency technologies company, today announced a new timing solution that meets the […]
Wireless connectivity is becoming a key feature in automobiles for sharing and viewing content from smartphones and tablets […]
National Instruments has announced the NI 9467 GPS synchronization module, which accurately synchronizes a large-scale CompactRIO system […]
Symmetricom, Inc., today launched a new small cells-focused category within its SyncWorld Ecosystem Program. Developed to support the […]
Washington, D.C. — The Federal Communications Commission’s Enforcement Bureau today launched a dedicated jammer tip line – 1-855-55-NOJAM […]
Likely none of us needs a reminder as the upcoming leap second has been all over the news outlets for the past few days. But just to provide the details again, read this article. Presumably, all GPS receiver manufacturers have checked to make sure their receivers will handle the leap second properly. However, at least one late-model high-end receiver from a leading manufacturer is currently reporting incorrect advance leap second information in its data files.
A component of most GPS receiver front-ends, the automatic gain control (AGC) can flag potential jamming and spoofing attacks. The detection method is simple to implement and accessible to most GPS receivers. It may be used alone or as a complement other anti-spoofing architectures. This article presents results from a baseline AGC characterization, develos a simple spoofing detection method, and demonstrate the results of that method on receiver data gathered in the presence of a live spoofing attack.
Cell-phone users are often more concerned about the speed of positioning than the accuracy, making time-to-first-fix the most important factor in a GNSS mass-market receiver’s perceived performance. However, TTFF is generally difficult to characterize and optimize because of the need to encompass a wide range of environments, including indoors.
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