Novel Sector Two-Dimensional Crest Factor Reduction Techniques for Performance Improvement in Dual-Band System

Currently, peak-to-average power ratio (PAPR) degrades the performance of the wireless system and has been widely studied in the orthogonal frequency division multiplexing (OFDM) systems. However, there is less work concerning about this issue in the dual-band signal wireless communication system, which still hinders the wide applications of the system. This paper aims to develop a new two-dimensional sector crest factor reduction (2D-SCFR) method to solve this problem in the dual-band signal system by reducing a certain amount of dual-band signal amplitude. In practice, we formulate a combined PAPR of the dual-band signals with the independent Gaussian distribution to evaluate the PAPR value of the dual-band signals. Further, as to the peak detection process, this proposed method introduces a continuous piecewise function, which determines the reduction amount based on signal amplitude to avoid over-reduction. To evaluate the performance of the proposed clipping technique, crest factor reduction (CFR) algorithms are applied as the benchmark solution with different dual-band input signal combinations. The numerical results show that the proposed method significantly improves the signal quality of error vector magnitude (EVM), as compared to other CFR algorithms.