Vol. 5 Issue 1
Year: 2016
Issue:Apr-Jun
Title:Performance Analysis of Evolutionary Algorithm for PAPR Reduction in OFDM System
Author Name:Prabhneet Kaur and Mangal Singh
Synopsis:
Orthogonal Frequency Division Multiplexing (OFDM) is a wireless transmission technique in which the digital data are transmitted in a radio environment at a very high speed. But one of the major drawbacks of OFDM system is, high peak to average power ratio which demands costly linear amplifiers with wide dynamic range. In this paper, less-complexity based partial transmit sequence technique is used for reducing the PAPR of OFDM system. PTS techniques can improve the PAPR statistics of an OFDM signals, but the computational complexity is a potential problem for the implementation in practical systems. Inorder to reduce this computational complexity, an optimization algorithm can be used. This paper shows the comparison between two population-based stochastic search techniques which is widely used in many scientific and engineering fields. Here, the Differential Evolutionary (DE) algorithm is compared with the Genetic Algorithm (GA).
Year: 2016
Issue:Apr-Jun
Title:Performance Analysis of Evolutionary Algorithm for PAPR Reduction in OFDM System
Author Name:Prabhneet Kaur and Mangal Singh
Synopsis:
Orthogonal Frequency Division Multiplexing (OFDM) is a wireless transmission technique in which the digital data are transmitted in a radio environment at a very high speed. But one of the major drawbacks of OFDM system is, high peak to average power ratio which demands costly linear amplifiers with wide dynamic range. In this paper, less-complexity based partial transmit sequence technique is used for reducing the PAPR of OFDM system. PTS techniques can improve the PAPR statistics of an OFDM signals, but the computational complexity is a potential problem for the implementation in practical systems. Inorder to reduce this computational complexity, an optimization algorithm can be used. This paper shows the comparison between two population-based stochastic search techniques which is widely used in many scientific and engineering fields. Here, the Differential Evolutionary (DE) algorithm is compared with the Genetic Algorithm (GA).
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