木星飞行器多普勒频率处理算法的研究与对比

Research and Comparison of Doppler Frequency Processing Algorithms for Jupiter Spacecraft

多普勒频率处理在深空探测领域具有重要意义,但基于锁相环的传统处理算法在频率变化过快时会出现相位失锁的问题。利用基于微分演化的多普勒处理算法,对实际采集的木星探测器Juno的频率数据进行处理并评估其精度。作为比对,同时解码了行星数据系统PDS发布的Juno轨道跟踪数据(ODF格式)并作精度评估,通过对比得知,两者的精度评估结果在同一水平(约为18 MHz,1秒积分),表明该多普勒数据处理算法是合理的。同时也对Juno的斜坡多普勒模式作了简单介绍,针对观测试验中的多普勒致宽现象,提出了解决方案。

Doppler frequency processing is of great significance in the field of deep space exploration,but the traditional processing algorithm based on PLL will lose phase lock when the frequency changes too fast.In this paper,the Doppler processing algorithm based on differential evolution is used to process the collected frequency data of Jupiter probe Juno and evaluate its accuracy.As a comparison,the Juno orbit tracking data(ODF format) released by the Planetary Data System PDS is decoded and the accuracy is also evaluated.Through comparison,it is known that the accuracy evaluation results of the two are at the same level(about 18MHz,1s integral),which shows that the Doppler data processing algorithm introduced in this paper is reasonable.At the same time,this paper also briefly introduces Juno’s ramped Doppler mode,analyzes the Doppler broadening phenomenon,and puts forward the solution.