Quectel LG69T Automotive Grade Dual-Band Multi-Constellation GNSS Module Integrating DR/RTK - Version:1.2

PublishTime：2022-07-26

■The LG69T module features the fifth generation of STMicroelectronics® positioning receiver platform, with 80 tracking channels and 4 fast acquisition channels, compatible with up to 5 constellations: GPS, Galileo, BDS, GLONASS and QZSS. It is a dual-band GNSS module integrating RTK and Dead Reckoning technology that enables best performance for a variety of applications. The module is designed and manufactured according to the Quality Management System based on IATF 16949:2016 Standard.
■With the dead reckoning capabilities and an integrated inertial measurement unit (IMU), the LG69T (AA) provides continuous meter-level positioning (without RTK corrections). The integrated state-of-the-art algorithms fuse between the IMU data, GNSS measurements, wheel tick sensor input and vehicle dynamics, to provide accurate positioning in areas where GNSS alone would fail. It is ideal for vehicle markets such as Automotive Navigation, ADAS and V2X.
■The LG69T (AM) supports standard RTCM correction from third-party base stations to reach centimeter-level positioning in seconds. It operates up to 10 Hz navigation rate and is perfect for applications such as robotics, agriculture, marine safety and surveying.
■The module is designed for easy integration with minimal requirement for external components. There is no need for an external powerful co-processor. Due to its small package size and light weight, it is well-suited for mass market adoption.

Brand of Product：	QUECTEL
Part#：	LG69T More Part#
Product Category：	Automotive Grade Dual-Band Multi-Constellation GNSS Module More
Application：	More
Data Type：	Datasheet More
Safety & Environment Standards：	More
Operating Temperature：	Please see the document for details
Qualification Grade：	More
Qualification Approval：	More
Package：
Language：	English Chinese Chinese and English Japanese
Date of Creation：	2022/4/7
Version Number：	Version:1.2
Data Encoding：
Data Size：	241 KB

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