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Partial Transmit Sequence (PTS) and Companding Methods Utilizing Neural Networks for PAPR Reduction
Abstract
Several modern communications systems over multipath propagation engaging and interesting orthogonal frequency division multiplexing (OFDM). Because they have a high PAPR, OFDM frequencies are particularly susceptible to frequency variation, which encourage energy inefficiencies in the transmitter’s RF band. The goal of the current article is to determine how to reduce PAPR using several methods, including PTS, companding, and a combination of the two. Simulation data obtained using a neural network show that the proposed technique outperforms other methods for decreasing PAPR. High peak-to-average power ratios are one of the major downsides of OFDM (PAPR) and has been discussed in this article.
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