PERFORMANCE EVALUATION AND ANALYSIS OF CONVOLUTION CODING ON SDR PLATFORM by Gaganpreet Kaur
All the devices and computers work more efficiently than pervious time due to rapid increase of technologies. In yesteryears practical research was very costly in terms of cost and time because that time prototype-circuit boards were used for testing any possible models. In present scenario, computers are powerful enough that it can do digital signal processing tasks which were done by dedicated devices. Moreover, people are becoming techno-savvy and affordable personal computers which are used at homes are also able to do necessary computation in same manner like dedicate devices are executing. Software Defined Radio (SDR) is this correlative kind of device. Translation of the signal processing into software that is run by a regular computer releases a huge number of possibilities at an affordable price. Therefore, easily examine and modify every value of the wireless communication system with the help of software defined radio. The demand of wireless communication systems is increasing day by day. With more and more users to accommodate, the transmission of data over a crowded channel results in loss of data and errors. Therefore, there is need for the platform that is enough flexible to accommodate large number of users with low probability of error. Channel coding is the most important techniques that helps to represent the transmission of source code in such a way that error probability minimizes over the crowded noisy channel by systematic addition of redundant bits. It helps to improve the error rate performance of the communication system, results in better reception. With the increasing demand for efficient standards, Software Defined Radio provides flexibility with low cost solutions for today’s wireless communication needs. In SDR, all the signal processing is done at the software level. In this work, Forward Error Correction codes i.e., convolution coding has been implemented on SDR because it has ability to improve the BER and SER performance of conventional modulation techniques such as PSK and QAM. Audio encoders, which are used for speech compression in radios and other sound systems, can also be enhanced using convolution coding. This will lead to development of new standards that can revolutionize the field of wireless communication.