edit

Grove - Doppler Radar

How would you build a system that could calculate the distance towards an object or detect whether there is motion present? Normally you would use an Ultrasonic or LiDAR Sensor for distance measurement and PIR Motion Sensor for motion detection. What if we told you there is an all-in-one module that could do all these functions more precisely and also perform functions such as velocity detection of moving objects and angle detection of objects. Would you believe it? We were tired of using these traditional modules for motion-sensing applications and wanted to deliver you a better solution, integrating new technologies. Well…For the first time in the history of Grove, we are very excited to bring you a Grove Module based on Radar Technology!

This is the Grove – Doppler Radar.

The Grove – Doppler Radar is based on the BGT24LTR11 Silicon Germanium MMIC which is a 24GHz radar transceiver. It is driven by an XMC1302 MCU based on Arm® Cortex®-M0. This comes in a compact package and runs on very low power, providing high-precision measurements.The high frequency of this module allows for high penetration though objects and therefore this module does not need to be exposed outside when deploying, but rather behind an object. This, in turn, is extremely useful in security systems. Also, this is able to operate in harsh weather conditions such as high temperatures, dust, and rain.

Feature

  • The first radar-based sensor in the Grove Family
  • Compact size for easy deployment
  • Light-weight design, suitable for UAV applications
  • Low power consumption for prolonged usage
  • 24GHz Transceiver MMIC for high-precision measurements
  • Fast response using electromagnetic waves
  • ESD protection to avoid system failures caused by ESD strikes
  • High penetration which allows it to be deployed behind an object
  • Maintains operation through harsh weather conditions (temperature, light, dust, rain)

Specification

Item Value
MMIC BGT24LTR11
MCU XMC1302 Arm® Cortex®-M0
Transmission Frequency Min: 24GHz
Typical 21.125GHz
Max 24.25GHz
Output Power (EIRP) 7dBm @ 25°C
Update Time 300ms
Communication Interface UART (115200)
Detection Distance 10m @ 0dBsm
Standard Detection Field 65° / horizontal (-6dB); 22° / vertical (-6dB)
Supply Voltage 3.3-5V
Weight 5g

Applications

  • Smart Home
  • Smart Building
  • Automatic Door
  • Lighting Control
  • Industrial Robotics
  • Intruder Alarm Systems
  • UAV

How Does Doppler Radar Technology Work in This Module?

Doppler radar works by sending a beam of electromagnetic radiation waves from the transmitter (TX Antenna), with a precise frequency, at a moving object. Once the electromagnetic radiation wave comes in contact with an object, it travels back towards the receiver (RX Antenna). However, when the wave got reflected from the moving object, the wave now has a different frequency compared to the original frequency, it emitted. Then the change in this frequency can be used to calculate the velocity of the moving object.

Platform Supported

Arduino Raspberry Pi

Getting Started

Materials Requied

Seeeduino XIAO Grove-Doppler-Radar XIAO Expansion Board
enter image description here enter image description here enter image description here
Get ONE Now Get ONE Now Coming SOON

Hardware Overview

External headers-pin description

Pin number Signal name Pin description
1 DIV_OUT Frequency divider output from the BGT24LTR11
2 GND Ground
3 VCC_5V_EXT External+5.0V input power supply pin(maximum=5.5V)
4 VTUNE VCO frequency tuning voltage
5 IFQ_HG BGT24LTR11 Q-channel-analog signal output-second gain stage
6 IFI_HG BGT24LTR11 I-channel-analog signal output-second gain stage
7 PWM_OUT External user-configurable GPIO with CCU4
8 OUT1 External GPIO pin (user configurable)
9 OUT2 External GPIO pin (user configurable)

Hardware Connection

Tip

Please plug the USB cable, Doppler Radar Interface into Seeeduino XIAO expansion board Interface gently, otherwise you may damage the port.

  • Step 1. Plug Doppler Radar into Seeeduino XIAO expansion board with a Grove Cable.

  • Step 2. Connect Seeeduino XIAO to PC via a USB cable.

  • Step 3. Download the code, please refer to the software part.

  • Step 4. Run the code and the outcome will display on the screen of Serial Monitor in your Arduino IDE .

Software

Attention

If this is the first time you work with Arduino, we strongly recommend you to see Getting Started with Arduino before the start.

  • Step 1. Download the Demo code.

  • Step 2. Copy the whole Seeed_Arduino_DopplerRadar file and paste it into your Arduino IDE library file.

  • Step 3. Open the BGT24LTR11_DETECTION_TARGET file with your Arduino IDE.

  • Step 4. Upload the demo. If you do not know how to upload the code, please check How to upload code.

Software Code

#include "GBT24LTR11.h"

#ifdef __AVR__
    #include <SoftwareSerial.h>
    SoftwareSerial SSerial(2, 3); // RX, TX
    #define COMSerial SSerial
    #define ShowSerial Serial

    GBT24LTR11<SoftwareSerial> GBT;
#endif

#ifdef ARDUINO_SAMD_VARIANT_COMPLIANCE
    #define COMSerial Serial1
    #define ShowSerial SerialUSB

    GBT24LTR11<Uart> GBT;
#endif

#ifdef ARDUINO_ARCH_STM32F4
    #define COMSerial Serial
    #define ShowSerial SerialUSB

    GBT24LTR11<HardwareSerial> GBT;
#endif

void setup() {
    // put your setup code here, to run once:
    ShowSerial.begin(9600);
    COMSerial.begin(115200);
    GBT.init(COMSerial);
    while (!ShowSerial)
        ;
    while (!COMSerial)
        ;
    /*
        MODE 0 -->detection target mode
        MODE 1 -->I/Q ADC mode
    */
    while (!GBT.setMode(0))
        ;
}

void loop() {
    // put your main code here, to run repeatedly:
    uint16_t state = 0;
    ShowSerial.print("target speed:");
    ShowSerial.println(GBT.getSpeed());
    state = GBT.getTargetState();
    //2 --> target approach
    //1 --> target leave
    //0 --> Not Found target
    if (state == 2) {
        ShowSerial.println("target approach");
    } else if (state == 1) {
        ShowSerial.println("target leave");
    }
    delay(200);
}

Success

If everything goes well, you can go to Serial Monitor to see an outcome as following:

Grove-Doppler-Radar'' OUTCOME
Figure 3. No object approaching

And if there's an object approaching the radar or passing by, the outcome will alter as below:

Grove-Doppler-Radar'' OUTCOME
Figure 3. Object approaching

Note

The minimum speed accuracy that the sensor is capable of detecting is 52cm/s, which equals to 0.52m/s, 3.6km/h and 2.23mph. Additionally, the results returned by function getSpeed() are multiples of 52cm/s and are absolute values accordingly.

Resources

Tech Support

Please submit any technical issue into our forum.