Silicon Labs BGM13S Blue Gecko BLUETOOTH® Mesh SiP Modules
Silicon Labs BGM13S Blue Gecko BLUETOOTH® Mesh SiP Modules offer a turnkey BLUETOOTH 5 system in a compact System-in-Package (SiP) form factor. Based on the Silicon Labs EFR32BG13 Blue Gecko SoC (System on Chip), BGM13S SiP modules feature an Arm® Cortex-M4 core with 512kB Flash and up to +18dBm output power. These fully-certified SiP modules integrate all components required (BLUETOOTH wireless SoC, RF antenna, and BLUETOOTH 5 compliant BLUETOOTH stack) to provide a complete, pre-certified, plug-and-play BLUETOOTH 5/Mesh solution. This integration accelerates time-to-market and saves months of engineering effort and development costs. In addition, common software and development tools enable seamless migration between Modules, SIPs, and SoC-based designsApplications
- IoT end-node devices and gateways
- Wearables
- Health, sports, and wellness devices
- Industrial, home, and building automation
- Smartphone, tablet, and PC accessories
- Beacons
Specifications
- I2C and UART interface types
- 8dBm or 18dBm output power options
- 2Mb/s data rate
- -90.2dBm receiver sensitivity
- 2.44GHz frequency
- 1.8V to 3.8V supply range
- Supply currents
- 9.7mA receiving
- 8.9mA transmitting
- -40°C to +85°C operating temperature range
- 6.5mm2 x 1.4mm in dimension
Bluetooth Direction Finding
The BLUETOOTH 5.1 specification enhances location services with a direction-finding feature that makes it possible to detect the direction of a BLUETOOTH signal. With BLUETOOTH direction finding, developers can bring products to market that understand device direction and achieve sub-meter location accuracy.
BLUETOOTH Angle of Arrival (AoA) and Angle of Departure (AoD) are the technologies that establish a standardized framework for indoor locationing. With these technologies, the fundamental problem of locationing comes down to solving the arrival and departure angles of radio frequency signals.
Videos
AoA & AoD
More about BLUETOOTH Direction Finding
• Whitepaper: BLUETOOTH Angle Estimation for Real-Time Locationing
Publicado: 2018-09-24
| Actualizado: 2025-08-06
