Deep Radio is an SDR based platform designed by Chandhar Research Labs Pvt Ltd.

Deep Radio is designed:

• To teach and learn the fundamentals of signal processing and wireless communications

• To process real-time signals

• To develop applications of deep learning in wireless domain

RF Signal Classification using Deep Radio
Deep Radio is capable of classifying 12 different modulation schemes (BPSK, QPSK, 8PSK, 16 PSK, 32 PSK, GMSK, 16 QAM, GFSK, CPFSK, OOK) using Convolutional Neural Networks (CNNs) with high accuracy.

Dynamic Spectrum Access using Deep Radio

Deep Radio is capable of sensing the RF spectrum in the range 100 MHz to 6 GHz. Thus, it can be used as a Cognitive Radio system by opportunistically identifying unused frequency bands. 

Integration with CRFO 

Deep Radio is integrated with Collaborative Radio Frequency Observatory (CRFO, https://map.crfo.org.in ) to enable collaborative research and development in the field of wireless communication in a cost-effective manner.  

Python Programming

Deep Radio uses Python programming language due to its data handling capabilities, ease availability of code libraries for machine learning applications, capabilities to interact with other third party languages and platforms.

1. 2G, 3G, 4G Live Spectrum/Bands monitoring 

2. Live monitoring of GSM stations

3. Live monitoring of 4G LTE stations

4. Over-the-air transmission and reception of binary data using BPSK Modem

5. Verification of AWGN channel distribution

6. Verification of small-scale fading distribution

7. Autocorrelation of small-scale fading

8. In spectrum to capture and visualize GSM and LTE signals

9. Processing GSM and LTE signals

10. Live FM transmitter

11. Transmission of BPSK, QPSK, GMSK< QAM, OFDM waveforms

12. Demodulating the FM stations

13. Wi-Fi Jammer

14. Energy detection-based spectrum sensing

15. Spectrumanalyzer