Small Satellite Identification for multi-payload launch using Doppler Measurements

A. Spiridonov, V. Baranova, Dmitrii Ushakov, V. Saetchnikov, V. Cherny
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Abstract

An unknown small satellite from a multi-payload launch on 04/01/2022 was identified using the processing of Doppler measurements of telemetry radio signals on 11 passes received by the Belarusian State University ground station for the period from 04/14/2022 to 04/15/2022. Using a statistical analysis of the small satellite elevation angle and the Doppler frequency shift of its radio signals in the model of perturbed circular motion, the most probable estimate of the four-parameter state vector of the unknown small satellite was obtained. On the basis of the obtained state vector, subsequent radio communication sessions with an unknown small satellite were predicted, radio signals of its telemetry were received and decoded. The decoded telemetry packets made it possible to identify the Chilean university's PlantSat nanosatellite. After the publication by the NORAD system of an updated database of averaged orbital parameters in the TLE format, the antenna pointing parameters and the Doppler frequency shift at the time of receiving telemetry radio signals for each of the satellites from multi-payload launch on 04/01/2022 were numerically simulated. Based on a probabilistic estimate of the elevation angle and Doppler frequency shift, the PlantSat nanosatellite built by students and engineers of the University of Chile was uniquely identified using the NORAD system database.
基于多普勒测量的多载荷发射小卫星识别
通过对白俄罗斯国立大学地面站在2022年4月14日至2022年4月15日期间接收的11次遥测无线电信号的多普勒测量处理,确定了2022年4月1日多载荷发射的一颗未知小卫星。通过对扰动圆周运动模型中小卫星仰角及其无线电信号的多普勒频移进行统计分析,得到了未知小卫星四参数状态向量的最可能估计。根据得到的状态向量,预测了与未知小卫星后续的无线电通信会话,接收并解码了该未知小卫星的遥测无线电信号。解码的遥测数据包使识别智利大学的PlantSat纳米卫星成为可能。在北美防空司令部系统公布更新后的TLE格式平均轨道参数数据库后,对2022年4月1日多载荷发射的每颗卫星在接收遥测无线电信号时的天线指向参数和多普勒频移进行了数值模拟。基于对仰角和多普勒频移的概率估计,由智利大学的学生和工程师建造的PlantSat纳米卫星通过北美防空司令部系统数据库被唯一地识别出来。
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