Deep Space Network Measurement Model Development for Interplanetary Mission

The DSN(Deep Space Network) measurement model for interplanetary navigations which is essential for precise orbit determination has been developed. The DSN measurement model produces fictitious DSN observables such as range, doppler and angular data, containing the potential observational errors in...

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Bibliographic Details
Main Authors: Hae-Yeon Kim, Eun-Seo Park, Young-Joo Song, Sung-Moon Yoo, Kyung-Min Rho, Sang-Young Park, Kyu-Hong Choi, Jae-Cheol Yoon, Jo-Ryeong Yim, Jun-Min Choi, Byung-Kyo Kim
Format: Article
Language:English
Published: The Korean Space Science Society 2004-12-01
Series:Journal of Astronomy and Space Sciences
Subjects:
Online Access:http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2004/v21n4/OJOOBS_2004_v21n4_361.pdf
Description
Summary:The DSN(Deep Space Network) measurement model for interplanetary navigations which is essential for precise orbit determination has been developed. The DSN measurement model produces fictitious DSN observables such as range, doppler and angular data, containing the potential observational errors in geometric data obtained from orbit propagator. So the important part of this research is to model observational errors in DSN observation and to characterize the errors. The modeled observational errors include the range delay effect caused by troposphere, ionosphere, antenna offset, and angular refraction effect caused by troposphere. Non-modeled errors are justified %%as the solved-for parameters. as the parameters. All of these results from developed models show about 10% errors compared to the JPL's reference results, that are within acceptable error range.
ISSN:2093-5587
2093-1409