MS35SN1
MS35SN1
MS35SN1
MS35SN1

5.0

MS35SN1

$12.00

MS34SNA with IMU is a high dynamic, supporting simultaneous multi-constellation positioning and L1+L5, GNSS module with integrated RTK positioning engine. Built-in 12nm advanced process GNSS Soc chip, integrated dual-core Cortex A7 1.2GHz high-performance computing processor, the module supports GPS, BeiDou, GLONASS, Galileo and QZSS multi-satellite systems, and integrates 6-axis sensors (3-axis gyroscope) + 3-axis accelerometer) and GNSS RTK tightly combined algorithm engine, MS34SNA can achieve centimeter-level positioning accuracy, greatly improve the positioning accuracy of the device, and support a maximum 20Hz fusion positioning refresh rate.

The module makes it ideal for industrial-type applications in the automotive sector (e.g. T-Box, car navigation, V2X), transportation sector (e.g. industrial vehicles, operational vehicle supervision), shared electric bikes, smart agriculture, etc.

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Stock
Out of stock
Weight 0.001 kg
  • Description
  • Specifications

MS35SN1 is a multi-galaxy, concurrent, simultaneous multi-constellation positioning and L1+L5 positioning GNSS module. Built-in MTK advanced process GNSS Soc chip, integrated ARM Cortex-M4 FPU and MPU with a main frequency of up to 530MHz. The module supports GPS, BDS, GLONASS, GALILEO and QZSS with excellent positioning performance while maintaining low power consumption.

Mode Type:MS35SN1

Satellite System: GPS L1+L5, BDS B1I+B2a, GLONASS G1, GALILEO E1+E5, QZSS L1+L5, IRNSS L5*

Ranging Accuracy :≤1.2m (1σ)

Dimension(mm):10.1*9.7*2.4

Supply Voltage: 3.3V

Pin Package: LCC-18pin

Output Mode: UART(TTL)

Tracking Sensitivity: -165dBm

Algorithm: Support Input Original Observation Data

Feature: Simultaneous multi-constellation positioning, MTK platform, High-sensitivity, All-constellation GNSS,

Applications: Asset tracking, Automotive, Drones & Robots, Fleet management, Industrial PDAs, Micromobility, Personal/pet tracking, Portable devices, Remote monitoring, Sharing economy, Wearable devices and Smart Agriculture.

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