天波雷达电离层相位污染模式认知与分析

电离层相位污染模式认知是天波超视距雷达电离层污染校正准确性的基础。由于电离层的复杂性和模式的不准确性，已有算法在实测数据处理中校正效果不佳。为了提高电离层相位污染校正的准确性，对电离层相位污染模式的分类开展研究，给出电离层相位污染统一模型，分析了3种不同模式的电离层相位污染对海杂波回波多普勒谱一阶Bragg峰的影响，仿真分析验证了3种相位污染均使海杂波回波多普勒谱一阶Bragg峰展宽，将纯正弦模式的相位污染进一步细化分类，为电离层相位污染的分类校正方法研究提供参考。

Mode Cognition and Simulation Analysis of Ionospheric Phase Contamination in Sky Wave Over-the-Horizon Radar

The mode cognition of ionospheric phase contamination is the basis for the accuracy of ionospheric phase contamination correction in sky wave over the horizon radar (OTHR). Due to the complexity of the ionosphere and the inaccuracy of the modes, the existing algorithms have low accuracy in the measured data processing. In order to improve the correction accuracy of ionospheric phase contamination in OTHR, the classification of ionospheric phase pollution modes is studied. A unified ionospheric phase contamination model is presented. The effects of three different modes of ionospheric phase pollution on the first order Bragg peak of Doppler spectrum of sea clutter echo are analyzed. The simulation and analysis results show that the first order Bragg peaks of Doppler spectrum of sea clutter echo are widened by the three kinds of phase contaminant, and the pure sinusoidal phase contamination is further refined and classified, which provides a reference for the classification and correction of ionospheric phase contamination.