PAPR Reduction in OFDM System Using Iterative Clipping and Filtering Technique Along with Convolutional Code

Orthogonal Frequency Division Multiplexing (OFDM) is widely used technique in high data rate wireless communication system. The major drawback of the OFDM system is large Peak to Average Power Ratio (PAPR) which can overweigh all the potential benefit of the OFDM system. Due to high PAPR, the power amplifier lead to saturation and generates inter modulation among the subcarriers. In this paper, we propose iterative clipping and filtering technique along with convolutional code that clipped the amplitude of the OFDM signal, which reduces the PAPR without much degradation in the bit error rate (BER). The reduction in amplitude variation by clipping creates distortion in the OFDM signal. Due to this distortion at the receiver end result higher BER. This BER performance is further improved by using convolutional code. MATLAB coding result shows that sharp drop on Complementary Cumulative Distribution Function (CCDF) Curve and reduced the PAPR.