Extrapolated Projection Methods for PAPR Reduction

摘要: Over more than the last decade, there has been a significant effort in research to reduce peak-to-average power ratio (PAPR) orthogonal frequency-division multiplexing (OFDM) systems. This mainly driven by need for enhancing efficiency of amplifiers. In this paper, we formulate PAPR reduction problem as feasibility real Hilbert space, and provide algorithmic solutions based on extrapolated projection methods with suitably constructed constraint sets. set-theoretic approach provides high flexibility includes various existing techniques special cases. particular, it allows balancing between spectral signal distortion symbol-to-symbol basis, while supporting arbitrary combinations quadrature amplitude modulation (QAM) constellations. Moreover, extend proposed reuse phase pilot subcarriers that are simultaneously used channel estimation. Simulations show remarkable performance gains resulting from extrapolation, which makes possible achieve considerable just few iterations low computational cost