LILYGO® TTGO T-Beam V1.1 ESP32 868Mhz LoRa (alternate for SX1276) Wireless Bluetooth GPS NEO-6M Module, with 18650 Battery Holder & SoftRF is your perfect LoRa companion.
ESP32 Features
- Lastest ESP32 Version: REV1
- WIFI
- Bluetooth
- 8MB PSRAM
- 4MB Flash
- 3D Antenna
LORA
- Working voltage: 1.8~3.7v
- Acceptable current:10~14mA
- Transmit current: 120mA@+20dBm, 90mA@+17dBm, 29mA@+13dBm
- Operating frequency: 868MHz version
- Transmit power: +20dBm
- Receive sensitivity :-139dBm@LoRa &62.5Khz&SF=12&146bps
- -136dBm@LoRa &125Khz&SF=12&293bps
- -118dBm@LoRa &125Khz&SF=6&9380bps
- -123dBm@FSK&5Khz&1.2Kbps
- Frequency error:+/-15KHz
- FIFO space:64Byte
- Data rate:1.2K~300Kbps@FSK
- 0.018K~37.5Kbps@LoRa
- Modulation Mode :FSK,GFSK,MSK,GMSK,LoRa TM,OOK
- Interface form : SPI
- Sleep current :0.2uA@SLEEP & 1.5uA@IDLE
- Operating temperature :-40℃- +85℃
- Digital RSSI function
- Automatic frequency correction
- Automatic gain control
- Low voltage detection and temperature sensor
- Fast wake-up and frequency hopping
- Highly configurable data packet handler
GPS
- GPS modules NEO-6M, 3V-5V power supply Universal
- Destined module with ceramic antenna, signal super
- Save the configuration parameter data EEPROM Down
- With data backup battery
- There are LED signal indicator
- Default Baud Rate: 9600
Power
- Power Supply Input USB 5V/1A
- Charging current 500mA
- Battery Input 3.7-4.2V
- Charge IC AXP192
OLED Description:
- Size:0.96 inch white OLED
- High resolution:128 * 64
- Viewing angle:> 160 °
- Driver IC:SSD1306
- Working temperature:-30 celcius ~ 80 celcius
- Module volume (generous):27.0MM * 27.0MM * 4.1MM
- Supports many control chip:Fully compatible with Arduino, 51 series, MSP430 series,STM32/2, CSR chip, etc.(a lot of routines for reference)
- Wide voltage support:without any modification, directly supports 3.3V ~ 5V DC
- Ultra-low power consumption:Normal operation Is 0.04W
- IO port occupies minimal display:I2C Communication
More information:
- https://github.com/lyusupov/SoftRF/wiki/Prime-Edition-MkII
- https://github.com/LilyGO/SoftRF
- https://github.com/Xinyuan-LilyGO/LilyGO-T-Beam