Ultra-Sensitive GNSS Receiver
Previously marketed as XYBRID Cloud™ the location.io ultra-sensitive GNSS receiver is a hosted GNSS hybrid location service that uses cloud-based computing to determine a position from the GNSS, Wi-Fi or cellular signals sensed by the device. This is accomplished by off-loading all the complex baseband processing to the location.io servers.
The location.io ultra-sensitive GNSS receiver service exposes a simple service interface that client devices can use to upload snapshots of raw GNSS signals along with a list of observed Wi-Fi access points or cell tower IDs. The service uses an advanced Hybrid Positioning Engine (HPE) developed by Rx Networks. The HPE algorithms are flexible enough to remotely render accurate position fixes even in situations where there may have been less than the minimum number of visible GNSS satellites normally required, or where signals may be too weak for an onboard GNSS receiver to effectively process.
The GNSS signals submitted by the client devices can typically be captured using a standard, low-cost RF front-end receiver. Alternatively, these signals can be captured via the onboard GNSS chip, if the device is so equipped, and relayed to the location.io ultra-sensitive GNSS receiver service when the onboard chip determines it is unable to resolve a fix.
The location.io ultra-sensitive GNSS receiver has been developed with funding support from TECTERRA Inc., a national organization supporting Canadian companies in the development and commercialization of innovative geomatics technology solutions. For more information, visit www.tecterra.com.
Features & Benefits
Static Indoor Positioning
Network infrastructure elements (such as Wi-Fi access points, routers, small cells) are often located indoors. The location.io ultra-sensitive GNSS receiver introduces the ability for these devices to autonomously self-locate.
By taking advantage of snapshots taken over a period of up to 24 hours, accurate indoor positioning can be achieved. For Wi-Fi based indoor positioning, this allows the access points to self-register in location databases, thereby enabling indoor location support all existing smartphones.
Cost and Power Efficient
Not all devices require the fast time to fix or turn-by-turn navigation capability. For many applications, a Tag & Locate approach where snapshots of data are captured for later post-processing may be sufficient. These may include geo-tagging of photographs, “track and trace” surveillance, and many other machine-to-machine (M2M) cases where logging of location is desired, but where the use of a dedicated GNSS chipset may prove too costly or require too much power to be effective.
Accurate & High Availability
We designed the location.io ultra-sensitive GNSS receiver to detect and acquire signals far weaker than what a dedicated GNSS chip can. This “virtual chip” in the cloud handles GPS and GLONASS signals (with BeiDou soon to be added) to yield high reliability fixes. The location.io ultra-sensitive GNSS receiver natively incorporates location.io‘s absolute height service to deliver floor-level fixes with sub-10 meter 3D accuracy.
Simple API & Client Hardware Requirements
The location.io ultra-sensitive GNSS receiver service exposes a simple service API through which a device can upload snapshots of GNSS signals. To capture these signals, the client device requires a Radio-Frequency Front End (RFFE), a low-cost chip designed to digitize radio signals. For OEM devices, this could be implemented with added components on the device, or as a peripheral such as a USB dongle.
We can provide reference designs to assist device manufacturers interested in making their product location-aware and compatible with our location.io ultra-sensitive GNSS receiver. We are also looking for hadware partners who wish to produce such modules for integration in 3rd party OEM products.