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Partial transmit sequence (PTS) is an effective technique to reduce the peak-to-average power ratio (PAPR) for orthogonal frequency division multiplexing (OFDM) transmitter. However, selecting the optimal parameters for the PTS is very complex since it requires an exhaustive search of all possible weighting factors whose number grows exponentially with the number of subblocks. An improved particle...
The major drawback of orthogonal frequency division multiplexing (OFDM) is its high peak-to-average power ratio (PAPR). The partial transmit sequences (PTS) method is well known for PAPR reduction, but its exhaustive search of phase factors causes high computational complexity. To overcome this problem, a Tabu search algorithm is proposed to reduce the complexity by choosing the weighting factors...
PTS is highly efficient in peak-to-average power ratio (PAPR) reduction of OFDM systems, but the considerable computational complexity for the required search through a high-dimensional vector space is potential problem for a practical implementation. In this paper, we formulate the search problem of PTS as a combinatorial optimization (CO) problem, then propose an algorithm based on improved discrete...
A new phasing scheme to achieve the lowest peak-to-average power ratio (PAPR) of OFDM system is presented in this paper, which is based on a global optimization combination of the initial phases using particle swarm optimization (PSO). The particle swarm optimization is applied to search the optimal combination of phase factors, which can achieve the OFDM signals with low PAPR and reduce the computational...
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