基于广义参数化时频变换的天波雷达电离层污染校正

Ionospheric Decontamination for Sky-wave Radars Based on General Parameterized Time-Frequency Transform

  • 摘要: 本文引入广义参数化时频变换方法对天波雷达接收信号进行分析,给出了一种更有效和稳健的天波雷达电离层污染估计和校正方法。根据电离层污染的特点选取样条函数作为参数化时频变换的核函数,针对电离层污染后的信号估计核函数参数,利用核函数来估计污染序列,构造污染校正算子进行污染校正。对于多模传播条件下的电离层污染,采用校正后滤除的方式,多次迭代完成污染的校正。仿真验证了方法的有效性和稳健性。

     

    Abstract: General parameterized time-frequency transform is introduced to analysis the echo of sky-wave over-the-horizon radar, a more effective and robust method for ionospheric decontamination is developed. We choose the spline function as kernel function of general parameterized time-frequency transform according to the characteristics of ionospheric contamination. Aiming at the ionospheric contamination, the parameters of kernel functions are estimated. Then the ionospheric contamination sequence is calculated from the kernel functions, and based on which the decontamination operator is obtained, the contamination can be removed. For the multiple mode propagation situations, by the way of iterative decontaminating-then-filtering, contamination can also be removed. Lastly, the effectiveness and robustness of the method are verified by the numeric simulations.

     

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