Comparison of PAPR Reduction of OFDM Signals Using Pseudo Random PTS and Clipping and Filtering Method

Atal Kumar Rai; B. S. Rai

doi:https://doi.org/10.51976/ijari.211413

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Comparison of PAPR Reduction of OFDM Signals Using Pseudo Random PTS and Clipping and Filtering Method

Atal Kumar Rai, B. S. Rai

Vol 2 , Issue 1 , January - March 2014 | Pages: 71-73 | Research Paper

https://doi.org/10.51976/ijari.211413

Received: February 02, 2014 | Revised: January 29, 2014 | Accepted: February 20, 2014 | Published Online: March 15, 2014

Author Details ( * ) denotes Corresponding author

1. * Atal Kumar Rai, Department of Electronic Engineering, Uttar Pradesh Technical University, Lucknow, Uttar Pradesh, India (Atalrai1977@rediffmail.com)

2. B. S. Rai, Department of Electronic Engineering, Uttar Pradesh Technical University, Lucknow, Uttar Pradesh, India

Many methods have been proposed to reduce the high PAPR problem. Partial transmit sequence (PTS) is one of the most popular peak-to- average power ratio (PAPR) reduction technique proposed for orthogonal frequency-division multiplexing (OFDM) systems. PTS is suffers from higher computational complexity and it requires several extra subcarriers for the transmission of side information. These extra subcarriers will degrade the OFDM system’s spectrum efficiency and increase the bit error rate. Several proposals had taken for eliminating the need of side information in the paper, but these existing techniques rely on some reference symbols which increases the transmission power or higher the complexity of the detector. In this paper, Pseudo- random PTS which uses cyclic shifting of sub block sequences is proposed to eliminate the need of side information. Simulation shows that the proposed scheme performs very well in terms of PAPR. The proposed scheme achieves almost the same bit error rate (BER) performance as the C-PTS with perfect side information, under frequency selective fading condition. In this paper, instead of analyzing the clipped signal, we study the clipping noise and propose a simplified OICF algorithm

Keywords

Orthogonal Frequency Division Multiplexing; Partial transmits sequences; Peak-to-Average Power Ratio; Side Information

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