SLR系统地靶数值仿真及数据处理

Numerical simulation and data processing of ground target in SLR system

  • 摘要: 地靶测量是获取SLR系统时延值、校准系统误差的重要手段,对提高系统测距精度具有重要意义。基于SLR系统地靶测量原理,采用蒙特卡洛方法,建立了地靶测距模型,实现了SLR地靶测距仿真。同时,从噪声的角度出发,提出了一种自适应噪声相关性匹配(ANCM)算法对地靶测距数据进行去噪,利用短时静态实测背景噪声和随机噪声阈值构建了回波噪声模板,结合SLR地靶数值仿真模型产生的模拟测距数据,通过优化回波选取区间、算法迭代次数等参数,完成了地靶有效信号的提取。与传统地靶数据处理算法相比,利用ANCM算法得到的中国科学院国家天文台长春人造卫星观测站SLR地靶数据有效点数增加了30%以上,数据处理精度提高2倍左右,数据处理的效率得到明显改善,为准确地获取SLR系统时延值提供了新的思路。

     

    Abstract: Ground target measurement is of great significance to improve the ranging accuracy of SLR system, which can obtain the system delay and calibrate the system error. Based on the principle of ground target measurement with SLR, the model of ground target ranging was established by using Monte Carlo method, and the SLR ground target ranging simulation was realized. From the view of noise, the method of adaptive noise correlation matching(ANCM) algorithm was proposed to eliminate the noise in ground target ranging data. The echo noise template was constructed based on the actual measured data of short-term static background noise and the threshold value of random noise, combined with the simulated ranging data generated by SLR ground target measurement model, by optimizing the selection interval of data, the iteration times and other parameters, the effective return signal of ground target was extracted. Compared with traditional ground target data processing algorithm, the effective return points from ground target in Changchun Observatory/National Astronomical Observatories, Chinese Academy of Sciences is increased by more than 30% with ANCM algorithm, the ranging accuracy of data processing is improved by around 2 times, the efficiency of ground target data is significantly improved, it also provides a new idea to obtain the delay value of SLR system accurately.

     

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