Friday, March 29, 2024

High-Precision GNSS Module For Precise Positioning

By Jay Soni

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u-blox’s latest high-precision GNSS module brings increased scalability to applications requiring centimeter-level positioning.

The introduction of Maps has brought a huge ease in locomotion and satellite positioning. There are several applications of this technology in a variety of fields, may it be domestic or defense. The current state-of-art technology may not be precise when it comes to a certain range of positioning.

ZED-F9R-03B GNSS Module for precise positioning. | Credit : u-blox

U-blox has introduced ZED-F9R-03B which extends the range of positioning augmentation services supported by its ZED-F9R high precision GNSS (global navigation satellite system) dead reckoning modules. The device adds support for SPARTN 2.0 and QZSS CLAS correction services, extending the geographical market reach of the ZED-F9R and increasing the scalability of applications using the module.

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The RTK (Real-Time Kinematic) capable ZED-F9R module was designed for use in autonomous automotive and industrial applications that require simple and efficient implementation. The module has an integrated inertial measurement unit (IMU) for RTK positioning. The module comprises an algorithm to fuse the IMU data with GNSS measurements, wheel ticks, correction service data, and a vehicle dynamics model to provide centimeter-level positioning accuracy.

It is based on the u-blox F9 multi-band GNSS receiver platform, which concurrently tracks up to four GNSS constellations, providing high-quality positioning accuracy.

Features
  • GNSS – BeiDou, Galileo, GLONASS, GPS / QZSS
  • Number of concurrent GNSS – 4
  • GNSS BANDS – B1I, B2I, E1B/C, E5b, L1C/A, L1OF, L2C, L2OF
  • OSCILLATORS – TCXO
  • DIMENSIONS – 17.0 x 22.0 x 2.4

The design is ideal for simple and efficient implementation and where rapid access to highly accurate positioning data is key, even in challenging signal environments as found in dense cities. Typical applications include slow moving use cases such as robotic lawnmowers and shared e-scooters.


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