基于免疫算法的非等间隔梳状谱信号峰均功率比抑制研究

Research into Peak-to-average Power Ratio Suppression Retrain of Unequal Interval Comb Spectrum Signals Based on Immune Algorithm

提出了一种采用免疫算法抑制非等间隔梳状谱信号峰均功率比的新方法。免疫算法是一种具有优异全局搜索特性的多目标优化算法,该特性可用于搜索非等间隔梳状谱信号的最优初始相位组合,极大限度抑制峰均功率比。相比解析代数式法,免疫算法具有不受梳状谱信号的谱线间隔和谱线数限制等优点,更具有通用性。

This paper brings forward a new method to suppress peak-to-average power ratio（PAPR） of unequal interval comb spectrum signal by using immune algorithm. The immune algorithm is a multi-objective optimization algorithm with characteristic of excellent global search, which can be used to search for optimal initial phases combination of unequal interval comb spectrum signals, and can suppress the PAPR greatly. Compared with analytic algebraic method, immune algorithm is more universal, because it is not restricted by spectral line interval and number of comb spectrum signals.