- 期刊
- OpenAccess
Quantum Logistic Improved Selective Mapping based PAPR Reduction for OFDM/OQAMs Systems
摘要
The orthogonal frequency division multiplexing with offset quadrature amplitude modulation (OFDM/OQAM) is a multicarrier modulation technique. OFDM/OQAM is a high-speed transmission technique that can effectively combat the interference between signal waveforms, and it is the core technology of the physical layer of the future generation network. Aiming at the problem of high Peak-to-Average Power Ratio (PAPR) in OFDM/OQAM system, an improved selective mapping algorithm based on quantum logistic chaotic mapping is proposed. Quantum logistic chaotic mapping is used as a random phase sequence vector to solve the fixed point and stability window problems of conventional logistic chaotic mapping. In addition, quantum logistic chaotic mapping provides a greater number of signals with random characteristics, and good correlations that are easy to generate and reproduce the signal with reduced system sideband power. The simulation results confirmed that the proposed scheme effectively minimizes the PAPR of the system, develops the number of candidate sequences, and minimizes the amount of redundant information transmission and sideband power. In comparison with traditional techniques, the proposed system is well-suitable for broad application prospects in OFDM/OQAM technology.