Computational Complexity Reduction of OFDM Signals by PTS with Alternate Optimized Recursive Phase Weighting (AO-RPW) Method
نویسندگان
چکیده
Partial transmit sequences (PTS) is one of the most attractive schemes to reduce the peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems. However, the Optimal PTS (OPTS) scheme requires an exhaustive searching over all combinations of allowed phase factors. Consequently, the computational complexity increases exponentially with the number of the subblocks. Recursive phase weighting (RPW) technique is a novel method whose aim is to reduce computational complexity and achieve the same performance in PAPR reduction as compared to O-PTS. In this paper we have proposed a novel technique named as Alternate optimized Recursive phase weighting (AO-RPW) method. Theoretical analysis and simulation results show that , compared with O-PTS and PTS employing RPW, PTS with AO-RPW method reduces the computational complexity but at the cost of loss of performance for PAPR reduction.
منابع مشابه
Computational Complexity Reduction of OFDM Signals by PTS with Various PAPR Conventional Methods
In this paper we analyze Partial transmit sequences (PTS),it is one of the most attractive schemes to reduce the Peak-to-Average Power Ratio (PAPR) reduction in Multi-Input Multi-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system with Space Frequency Block Coding (SFBC) is proposed. However, the Optimal PTS (OPTS) scheme requires an exhaustive searching over all combinations o...
متن کاملComputational Complexity Reduction of OFDM Signals by PTS with Alternate Optimised Grouping Phase Weighting Method
Partial Transmit Sequence (PTS) technique is an attractive technique for peak-to-average power ratio (PAPR) reduction of orthogonal frequency division multiplexing (OFDM) signals. However, optimum PTS (OPTS) requires an exhaustive search over all combinations of allowed phase weighting factors, resulting in high computational complexity. In this paper, we propose an Alternate Optimised Grouping...
متن کاملIncreasing the Performance of OFDM Systems by PAPR Reduction in PTS Technique using Election Optimization Algorithm
Orthogonal Frequency Division Multiplexing (OFDM) is a useful technology in wireless communications that provides high-rate data transmission in multipath fading channels. The advantages of OFDM systems are the high spectral efficiency and strong resistance to frequency selective fading. In OFDM systems, a large number of sub-carriers are used to modulate the symbols causing the time-domain OFD...
متن کاملComputational Complexity and Peak-to-Average Power Ratio Reduction of OFDM Signals by PTS with Sub -optimum Grouping Phase Weighting Method
Partial Transmit Sequence (PTS) is a promising technique to reduce Peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. However optimum PTS (OPTS) needs exhaustive search over all combinations of allowed phase weighting factors. It results in high computational complexity. Grouping Phase Weighting (GPW) technique is a method which has reduced computat...
متن کاملUsing evolutionary computation technique for trade-off between performance peak-to average power ration reduction and computational complexity in OFDM systems
A low-complexity partial transmit sequence (PTS) technique for reducing the peak-to-average power ratio (PAPR) of an orthogonal frequency division multiplexing (OFDM) system is presented. However, PTS technique requires an exhaustive search over all combinations of allowed phase weighting factors, and the search complexity increases exponentially with the number of sub-blocks in OFDM system. He...
متن کامل