Rx Networks provides assistance GNSS data tailored for IoT devices

September 25, 2018  - By
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Rx Networks logoRx Networks Inc., a mobile location technology and services company, has announced an update of its location.io platform to provide GNSS assistance data to enable better positioning in internet of things (IoT) devices.

The company has updated its location.io HTTP interface to provide real-time GNSS ephemeris data with a reduced payload, a smaller predicted GNSS ephemeris client while maintaining full featured accuracy.

Rx Networks is demonstrating location.io at its booth at ION GNSS+, being held this week in Miami.

The location.io HTTP interface is now leaner and requires fewer requests and less data. In providing an interface for IoT devices, specifically, Rx Networks extends the delivery of their reliable and accurate assistance data to new and emerging use cases.

“Rx Networks is a proactive company endeavoring to provide excellent solutions and services for our customers,” said John Carley, director of sales and product strategy at Rx Networks. “By adding another use-case focused interface, we are able help customers create top-quality solutions targeted for their customer needs. By adding another interface designed for specific use cases, we help our customers create top-quality solutions targeted for their customer needs. Especially in the areas of smaller processors, longer product life time and lower battery consumption.”

location.io includes technologies already used by more than 1 billion smartphones, laptops and wearables worldwide. Specific components are:

  • Real-time GNSS assistance. The real-time assistance service is designed to work with all popular location servers such as Ericsson, TCS, ZTE, and Qualcomm. Rx Networks also offers RINEX files and a generic HTTP interface for independent access to the assistance data. It supports over five constellations, including GPS, GLONASS, Beidou, Galileo, QZSS and SBAS. RT-GNSS assistance can now be filtered by location or Cell ID to provide only Satellites in View.
  • Predicted GNSS assistance. The predicted service provide seed data that enable client devices such as smartphones, laptops, and wearables, to generate up to 14 days of extended ephemeris for fast and sensitive GNSS fixes. Predicted GNSS assistance support GPS, GLONASS, BeiDou and Galileo, and has been updated to have a smaller footprint, use less resources and support OSs and RTOSs.

All location.io services are delivered from Rx Networks’ geo-redundant and cloud-based service delivery network, via a lean API ensuring a 99.999 percent service level availability.

NTRIP Data. Rx Networks has also added NTRIP-formatted data services to location.io. Customers can now choose from a variety of data formats, including Rx Networks proprietary format, NTRIP, LPP, RRLP, proprietary real-time, IoT-optimized and a few custom formats.

Observation data from our multiband multi-constellation global reference network is now available in NTRIP format, and customers are already on board.

High availability is assured with geographically redundant secure NTRIP casters, the company said. The innovative High Accuracy Assistance Service (HAAS) product will also be available in RTCM format via NTRIP casters.

With the addition of RTCM formatted data via an NTRIP data feed, Rx Networks continues to expand its constellation support with the largest variety of terrestrial delivery mechanisms. The solution architecture includes an NTRIP server, caster and client, providing a complete solution.

“Our customers love the reliability and plug-and-play convenience of our NTRIP service,” said Brian Marciniak, head of business development at Rx Networks. “With Rx Networks’ expanded reference network, secure NTRIP observations and real-time data, we are enabling our customers to expand their businesses in exciting new ways.”

location.io includes technologies already in use by more than 1 billion smartphones, laptops and wearables worldwide.

All location.io services are delivered from Rx Networks’ geo-redundant and cloud based service delivery network.

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