A Novel Clipping and Filtering Algorithm Based on Noise Cancellation for PAPR Reduction in OFDM Systems

作者：Chakrapani Arvind^*; Palanisamy V

来源：Proceedings of the National Academy of Sciences India Section A-Physical Sciences, 2014, 84(3): 467-472.

DOI：10.1007/s40010-014-0134-8

• Bit error rate (BER)
• Fast fourier transform (FFT)
• Iterative clipping and filtering (ICF)
• Peak to average power ratio (PAPR)

Iterative clipping and filtering is an effective technique to achieve peak-to-average power ratio (PAPR) reduction in orthogonal frequency division multiplexing (OFDM) systems, but requires numerous iterations to minimize the peak regrowth problem. In this paper, a novel clipping and filtering (CF) algorithm based on clipping noise cancellation method is proposed which needs only one iteration to minimize PAPR and also mitigates the effects of in-band and out of band distortion. This method requires three fast fourier transform (FFT)/inverse fast fourier transform IFFT operations while the conventional CF method requires (2K+1) FFT/IFFT operations, where K refers to the number of iterations. The simulation result shows that the QPSK modulated OFDM signal with 1,024 sub-carriers achieves a PAPR reduction of 6 dB in the additive white Gaussian noise channel with optimum bit error rate performance at the receiver.

• 出版日期2014-9