This study develops and utilizes a batch filter based on particle filtering (PF) for precise orbit determination (POD) with satellite laser ranging (SLR) observations. The Laser- ranging Precise Orbit Determination System (LPODS) is also developed for SLR obser- vations of low Earth orbiting satellites. SLR normal point (NP) observations of satellite CHAMP are used for measurements of POD. The characteristics of a batch filter based on PF are compared with those of a batch filter based on unscented transformation (UT) and the batch-least squares filter (BLSF) under various environment conditions. For nonlinear conditions, initial position errors of a reference orbit are assumed to be 10 m, 100 m, and 500 m. For non-Gaussian conditions, five simulated measurement noises are added to SLR observations. A post-fit residual test and an external orbit comparison are performed for orbit assessment purposes. The results show that the performance of a batch filter based on PF is better than that of other filters in nonlinear and non-Gaussian environmental con- ditions. Moreover, a batch filter based on PF does not require the heavy scaling parameter tuning required for a batch fifilter based on UT. These results show that POD using a batch filter based on PF is advantageous in terms of accuracy and convenience. Finally, the new algorithm proposed in this study is more suitable than the BLSF and a batch filter based on UT for POD problems under nonlinear and non-Gaussian conditions.
|Title of host publication||AIAA/AAS Astrodynamics Specialist Conference 2012|
|Publication status||Published - 2012|
|Event||AIAA/AAS Astrodynamics Specialist Conference 2012 - Minneapolis, MN, United States|
Duration: 2012 Aug 13 → 2012 Aug 16
|Name||AIAA/AAS Astrodynamics Specialist Conference 2012|
|Other||AIAA/AAS Astrodynamics Specialist Conference 2012|
|Period||12/8/13 → 12/8/16|
Bibliographical noteFunding Information:
This work was supported by the Korea Astronomy and Space Science Institute through the SLR system development program for space geodesy funded by the Ministry of Education Science and Technology (MEST).
All Science Journal Classification (ASJC) codes
- Aerospace Engineering
- Astronomy and Astrophysics