CUAV NEO 4 SE GPS Module
$80.1
$105.73
CUAV NEO 4 SE GPS Module Support Four Satellites | u-blox M10 Satellite Receiver System CUAV NE0 4 SE can receive four GNSS concurrently, supporting BeiDou, Galileo, GLONASS, GPS/QZSS systems. The receiver can select the optimal signals to maximize Iocation availability, allowing GNSS module to perform well even in challenging environments such as urban canyons. BeiDou Galileo GLONASS GPS/QZSS Follow us World Drone Market on YouTube to view more videos about the CUAV NEO 4 SE. Precise Positioning | Integrate Dual SAW LNA NEO 4 SE integrates TCXO, dual LNA architecture, together with active receiving antenna composed of RF filtering system, which can provide outstanding receiving sensitivity and acquisition time, effectively enhancing positioning accuracy. High-Performance STM32H5 Processor | Self-Developed M4C Architecture Software It adopts brand-new STM32H5 Arm® Cortex®-M33 CPU processor, running frequency up to 250 MHz, providing the system with stronger computing power. It runs the highly flexible M4C architecture software developed by CUAV, which can achieve customized development and upqrading efficiently. Strong Anti-Interference | Built-In ST IIS2MDC Electronic Compass Integrating new ST IIS2MDC electronic compass internally, NEO 4 SE has a magnetic field dynamic range of up to ± 50 Gs and integrates temperature offset compensation function. It has a high dynamic range and strong anti-magnetic field interference ability among similar products. Adopt DroneCAN Protocol | Compatible with Mainstream Open Source Platform NEO 4 SE adopts DroneCAN protocol and is compatible with ArduPilot and PX4 open source platform protocol stacks. lt has a wide range of application scenarios and stronger expandability and flexibility. Multi-Functional RGB Status Light | Controller Disarming Switch It is equipped with an 8-channel bus RGB light group, which can present multi-level and rich status effects. lt is linked with built-in buzzer in multiple frequencies, and generate a variety of recognizable states through intelligent scene recognition, covering various work modes such as controller disarming switch, battery level, positioning, fault, etc.
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