Abstract
Orthogonal frequency division multiplexing (OFDM) is a multi-carrier communication technique used in many modern day communication platforms. It was designed with a very high data rate during wireless communication. Underwater communication is an emerging technology in the field of wireless communication. Due to the detrimental effect of time and frequency spreading, achieving good data transfer in underwater wireless communication is challenging. This paper proposes a multi-level optimization model called partial transmission sequence (PTS). This work utilizes PTS algorithm to reduce the peak-to-average power ratio (PAPR) of OFDM systems in underwater communication. This method increases the number of optimization stages and reduces the number of elements in the present phase set for each level of optimization to find the optimal phase rotation. The computational complexity of traditional PTS algorithm increases exponentially with the increase of the number of sub-blocks and the number of phase set elements can be selected. The proposed implementation would reduce the complexity of the system as the sub-blocks are executed in parallel. The development of proposed method is divided into two stages. The proposed PTS model is first developed in MATLAB and then implemented on system on chip (SoC) platform. The proposed method is compared with the existing methods. The experimental results prove that the proposed method greatly reduces the PAPR value, thereby increasing the overall performance.
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Asha, M., Surekha, T.P. (2022). Development of Improved SoC PTS Algorithm for PAPR Reduction in OFDM Underwater Communication. In: Smys, S., Bestak, R., Palanisamy, R., Kotuliak, I. (eds) Computer Networks and Inventive Communication Technologies . Lecture Notes on Data Engineering and Communications Technologies, vol 75. Springer, Singapore. https://doi.org/10.1007/978-981-16-3728-5_48
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