INTRODUCTION Radio communication is extremely critical for public safety, national safety and emergency communications systems.During emergency situation all forms of communication are break down.Solve the problem of inter-operability and incompatible. Inter-operability is solved by implementing large part of radio functionality in software.Software defined radio, communicate with multiple incompatible radios or act as a bridge between them.Present a method and design of implementing an SDR system using Raspberry Pi
Provide enough computational power to perform all the required signal processing in real time.
3. INTRODUCTION
• Radio communication is extremely critical for public safety, national safety and
emergency communications systems.
• During emergency situation all forms of communication are break down.
• Solve the problem of inter-operability and incompatible.
• Inter-operability is solved by implementing large part of radio functionality in
software.
• Software defined radio, communicate with multiple incompatible radios or act as a
bridge between them.
• Present a method and design of implementing an SDR system using Raspberry Pi
• Provide enough computational power to perform all the required signal processing in
real time.
5. BLOCK DIAGRAM EXPLANATION
• System consist of a transmitter part , receiver part and an base band processor
• Radio signals are received using an antenna connected to RTL-SDR.
• Analog signal received by antenna is sent to analog to digital converter component.
• Analog signal is digitized at a sampling rate which is set by software.
• Digitized radio signal is then down-converted to frequency which is again controllable by
software.
• Base-band signal is then sent to Raspberry Pi for extraction of information from the signal.
• Information extracted can be piped to the LCD and LED connected to the system.
• Routed to the memory for storage.
• To transmit the signal, general purpose input output pin available on Raspberry Pi is used
6. COMPONENTS
SMOKE SENSOR
• The MQ-2 smoke sensor is sensitive to smoke and to the following flammable gases:
• LPG
• Butane
• Propane
• Methane
• Alcohol
• Hydrogen
• Resistance of the sensor is different depending on the type of the gas.
• Smoke sensor has a built-in potentiometer
• Allows to adjust the sensor sensitivity
• Greater the gas concentration, greater the output voltage
7. VIBRATOR SENSOR
• Vibration sensor used is SW-420
• working bias of this circuit is between 3.3V to 5V DC
• Board that includes comparator LM 393 and adjustable on board
potentiometer and signal indication LED.
• Potentiometer for sensitivity threshold selection.
• Sensor module produce logic states depends on vibration and external force
applied on it.
• When there is no vibration this module gives logic LOW output.
• When it feels vibration then output of this module goes to logic HIGH.
8. RTL-SDR
• RTL-SDR is a very cheap software defined radio that uses a DVB-T dongle based on the
RTL2832U chipset.
• Enables easy signal processing and thus cheap wide band scanner radios to be produced.
• Frequency range dependent on the particular tuner variant used in the dongle, and the
particular implementation.
• Tunning range between 24MHz to 1850MHz.
• Maximum sample rate is 2.4 MS/s.
• ADC resolution 8 bit.
• Antenna input impedance 75 ohm.
• Dynamic range 45dB.
• RTL2832U contains a USB interface that send samples to raspberry pi
9. ARDUINO UNO
• Arduino is an open-source electronics platform based on easy-to-use hardware and software.
• Microcontroller board based on the ATmega328
• It runs on Mac, Windows, and Linux.
• Boards are equipped with 14 digital I/O and analog
input pins
ATmega328 has 32 KB
• . It also has 2 KB of SRAM and 1 KB of EEPROM
• 6 analog inputs, labeled A0 through A5
• Each of which provide 10 bits of resolution
• UART TTL (5V) serial communication, which is
available on digital pins 0 (RX) and 1 (TX).
• 16 MHz ceramic resonator, a USB connection,
a power jack, an ICSP header, and a reset button
10. RASPBERRY PI 3
• Raspberry Pi 3 is the third-generation Raspberry Pi.
• Low power credit –card-sized single-board computer.
• Has fast processor on board to increase the speed.
• Quad core 1.2GHz Broadcom BCM 2837 64 bit CPU
• 40 pin extended general purpose input output pins
• 1GB RAM , 4*USB 2 port
• CPU on the board is an ARM processor with 700MHzclock speed
• CSI camera port to connect Raspberry pi camera
• DSI display port for connecting Raspberry Pi touch screen display
• Micro SD for loading operating system and storing data.
13. WORKING
• MQ2 is the smoke sensor used and has 4 pins.
• Analog output of smoke sensor connect to the analog input of Arduino.
• SW420 is used as vibrator sensor and has 3 pins.
• Digital output is connected to the digital input pin of Arduino.
• 434MHz RF transmitter is used and has 4 pins.
• It use ASK Modulation with output produced is 8mW.
• Produce output to range of 50ft.
• Data pin is connected to the MISO pin of Arduino.
• 30-35cm wire antenna is used.
14. CONT..
• RTL-SDR received the output signal from RF Transmitter.
• USB powered SDR receiver only and connected to USB port of base band
processor.
• Which process the signal and extract the information and it is piped to LED,LCD
and buzzer.
• 16*2 LCD is used with D4-D7 lines are connected to GPIO pins.
• BC547 , NPN transistor is used to connect the buzzer to Raspberry Pi.
• Which act as a amplifier and keep the component from burning up.
15. ADVANTAGES
• Low cost
• Small size
• Low power consumption
• Easy to configure
• Easy to deploy
• System can operate using portable battery
16. CONCLUSION
• Software defined radio technology helps to solve the communication problem
arised during emergency situations.
• By implementing radios that can operate on multiple frequency bands and multiple
protocols by software control.
• Developed using Raspberry Pi and a low cost front end solution.
• The system is low cost, small size, portable and consumes low power.
17. REFERENCES
[1] Vijendra Singh Tomar and Vimal Bhatia, “Low cost and power Software Defined
Radio using Raspberry Pi for disaster effected regions”, Second International
symposium on Computer Vision and Internet,2015
[2] Praveen Kumar P and Dr.Noor Mahammad, “SDR based multi data
communication system design”, International conference on Design and
Manufacturing,2013
[3]Robert. C.Mazur, “An Arduino DCR-SCR projects” The Canadian Amaetur, July-
August 2015