Processing and Analysis of X-Ray Pulsar-Based Navigation Test Satellite Observation Data

Journal of Deep Space Exploration ›› 2018, Vol. 5 ›› Issue (3) : 241 -245,261.

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Journal of Deep Space Exploration ›› 2018, Vol. 5 ›› Issue (3) : 241 -245,261. DOI: 10.15982/j.issn.2095-7777.2018.3.006

Processing and Analysis of X-Ray Pulsar-Based Navigation Test Satellite Observation Data

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Abstract

The first batch observation data of the X-ray pulsar-based navigation test satellite were released. We get 35 files of the time of the arrival of the photons using the standard basic astronomical program library proposed by International Astronomical Union and the JPL ephemerides. Using the method of epoch folding and the known ephemeris parameters,35 pulse integral profiles are obtained. The kernel regression method is used to reduce the noise. The influence of the folding bin number on time residual is analyzed. The results show that the observation data is effective,and the pulse integral profiles can be obtained,and the detection of crab star is realized. The kernel regression algorithm effectively reduces the effect of the bin number on the time residual. The rooted-mean-square of the pre-fit timing residual is about 40 μs.

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X-ray pulsar-based navigation test satellite / epoch folding / kernel regression / timing residual

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null. Processing and Analysis of X-Ray Pulsar-Based Navigation Test Satellite Observation Data. Journal of Deep Space Exploration, 2018, 5(3): 241-245,261 DOI:10.15982/j.issn.2095-7777.2018.3.006

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