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TW5386 Smart GNSS Antenna SDK

TW5386 Smart GNSS Antenna SDK

MPN: 33-TP5386SDK-0
Tallysman
Antenna Development Tools SDK with TruPrecision Software for TW5386 GNSS GPS MODULE : integrated L1 L2 antenna with u-blox ZED-F9R Receiver . RTK Rover. Point One Nav Polaris RTK , Swift Nav Skylark RTK , u-blox PointPerfect PPP-RTK . Inertial Measurement Unit . RS-422 & USB
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Overview

The 33-TP5386SDK-0 is a comprehensive evaluation kit for the Calian TW5386, an integrated multi-band (L1/L2) GNSS receiver and antenna system. It features an onboard Inertial Measurement Unit (IMU) for sensor fusion and Untethered Dead Reckoning (UDR), providing centimeter-level accuracy via RTK or PPP-RTK corrections even in signal-challenged environments.

Why Choose This Part

This system combines a ZED-F9P receiver with Tallysman Accutenna technology to deliver superior interference rejection and multi-stage filtering. The integrated MQTT and NTRIP clients simplify the delivery of PointPerfect and standard RTK corrections without requiring complex external middleware.

Applications

Autonomous Robotics
High-precision navigation for outdoor mobile robots and agricultural machinery requiring sub-decimeter accuracy.
Urban Navigation
Maintains positioning in urban canyons using IMU sensor fusion to mitigate multipath interference and signal loss.
Precision Mapping
Utilizes PPP-RTK for sub-6 cm accuracy in areas without local base stations using terrestrial network corrections.
Unmanned Systems
Integrated ROS2 support makes it suitable for rapid integration into autonomous vehicle research and development.

Key Specifications

Type PointPerfect PPP-RTK GNSS Correction Services
Contents Board(s), Accessories
Antenna Type RJ45 Antenna(s) Included
Utilized IC / Part TW5386, ZED-F9P

Getting Started

Connect the RS-422 antenna to the included USB-to-serial bridge to interface with the PC-based status console for real-time monitoring of NMEA data and satellite visibility. Developers can utilize the available ROS2 drivers for integration into Linux-based robotic platforms and leverage the visual heat-maps for IMU sensor fusion calibration.

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