Estimation of Ionospheric Incoherent Scatter Spectrum and Autocorrelation Function
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摘要:
非相干散射谱对电离层各物理参数的研究具有至关重要的作用。现有非相干散射谱模型推导和计算较为复杂，且无法给出相应的自相关函数模型。该文重新推导了电离层非相干谱的简化模型，并提出相应的自相关函数模型。在此基础上，针对非相干散射信号处理中零时延处距离模糊大、分辨率较低，导致自相关函数在不同时延处均衡性较差，影响电离层散射谱估计性能的问题，提出使用自相关函数模型估计零时延自相关值的数据拟合方法。考虑到计算复杂度，提出利用多项式函数逼近自相关函数模型的快速实现方法。最后，通过对实测回波数据处理结果的对比分析，证明了该方法的可行性，对提高电离层探测精度具有重要意义。
Abstract:Incoherent scatter spectrum plays an important role in studying the physical parameters of the ionosphere. The conventional theoretical model of incoherent scatter spectrum for derivation and calculation is extremely complicated and the model of the autocorrelation function can not be obtained . In this paper, the simplified model of ionospheric incoherent scatter spectrum is re-derived and the corresponding autocorrelation function is proposed. In the procedure of traditional incoherent scattering radar signal processing, the autocorrelation function is imbalance at different delays. This is mainly because the range resolution of zero-lag is very low, which affects the estimated performance of ionospheric scatter spectrum. Focus on this problem, a method based on data fitting is proposed to estimate the autocorrelation at zero-lag. Considering the computational complexity, a fast implementation method by polynomial functions is proposed to approach the autocorrelation function. Finally, experimental results on real echo data demonstrate the correctness and efficiency of the proposed method, which is of great significance for ionospheric detection.
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