Implementation of OFDM (Orthogonal Frequency Division Multiplexing) Using MATLAB Simulink
Roshan R Balmiki[1], Neelam Jain[1], Abhishek Gupta[1], Deepak Kumar Ray[2]
[1]Students at the Department of Electronics and Telecommunication, Bharati Vidyapeeth Deemed To Be University College Of Engineering Pune
[2]Assistant Professor at the Department of Electronics and Telecommunication, Bharati Vidyapeeth Deemed To Be University College Of Engineering Pune
ABSTRACT:
Our project "Implementation of OFDM Using MATLAB Simulink" is primarily intended to develop a MATLAB-based simulation of OFDM, i.e. Orthogonal Frequency Division Multiplexing, Orthogonal Frequency Division Multiplexing or OFDM is a modulation format that is being used for many of the latest wireless and telecommunications standards. Orthogonal frequency division multiplexing has also been adopted for a number of broadcast standards from DAB Digital Radio to the Digital Video Broadcast standards, DVB. It has also been adopted for other broadcast systems as well including Digital Radio Mondale used for the long medium and short wave bands. Although OFDM, orthogonal frequency division multiplexing is more complicated than earlier forms of signal format, it provides some distinct advantages in terms of data transmission, especially where high data rates are needed along with relatively wide bandwidths.
In classical parallel data system, the total signal frequency band into N non-overlapping frequency sub channel. Each sub channel is modulated with a separate symbol and then N sub channels are frequency multiplexed. Results in a High bandwidth occupancy, inter symbol interference (ISI) and multiple fading.
OFDM transmission system offers possibilities for alleviating many of the problems encountered with single carrier systems. It has the advantage of spreading out a frequency selective fade over many symbols. Dividing an entire signal bandwidth into many narrow sub-bands cause the frequency response over individual sub-bands to be relatively flat, because sub-bands are smaller than the coherence bandwidth of the channel.
