一种基于极化匹配滤波的垂测电离图O/X波分离方法

      A Method for O/X Wave Separation in Vertical Incidence Ionograms Based on Polarization Matching Filtering

      • 摘要: 电离层垂直探测是电离层空间环境科学认知与无线通信、雷达等工程应用中极其重要的探测手段。受地磁场影响,探测信号在电离层中分裂为寻常波(O波)与非常波(X波)独立传播,相应的垂测电离图中会出现O波和X波的描迹,实现O/X波的精确分离是提升电离层探测数据应用价值的重要环节。然而,由于短波波段复杂的电磁环境,电离层本身的时变、色散、耗散等特性以及探测设备本身技术限制等因素使得O/X波分离非常困难。本文提出了一种基于极化匹配滤波的OX波分离方法,通过充分利用O波与X波极化特性的差异,构建匹配滤波器,有效实现了对两者的高精度分离。实验结果表明,原始探测数据经极化匹配滤波后,对正交极化的抑制度可达80-140dB,与现有方法相比,本文方法在不同形态电离图中O/X波分离具有明显优势。该方法从极化信号处理的角度实现O、X波分离,保留了原始探测的O/X波极化特征,物理意义明确,提供了一种特征模解析分离的新方法,对其他应用中的极化信息处理也具有一定的参考价值。

         

        Abstract: Ionospheric vertical sounding is a crucial detection technique for both scientific understanding of the ionospheric space environment and engineering applications such as wireless communication and radar. Influenced by the geomagnetic field, the sounding signal splits into ordinary (O) wave and extraordinary (X) wave, which propagate independently in the ionosphere. Correspondingly, both O-wave and X-wave traces appear in vertical incidence ionograms, making precise separation of O/X waves a vital step in enhancing the application value of ionospheric sounding data. However, O/X wave separation is highly challenging due to the complex electromagnetic environment in the high-frequency band, the time-varying, dispersive, and dissipative nature of the ionosphere, as well as technical limitations of the detection equipment itself. This paper proposes an O/X wave separation method based on polarization matched filtering. By fully exploiting the differences in polarization characteristics between O and X waves and constructing matched filters, high-precision separation of the two waves is effectively achieved. Experimental results show that, after polarization matched filtering of the original sounding data, the suppression ratio for orthogonal polarization can reach 80-140 dB. Compared with existing methods, the proposed approach demonstrates significant advantages in separating O/X waves across ionograms of varying morphologies. This method achieves O/X wave separation from the perspective of polarization signal processing, preserves the original polarization characteristics of the detected O/X waves, and carries clear physical significance. It provides a novel approach for modal analytical separation and offers valuable reference for polarization information processing in other applications.

         

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