An Improved RAIM Algorithm and Hatch-Type Filter Smoothing Strategy

Autor: Wei-qi Zhang, Rui Tu, Ya-bing Zhang, Li Wang, Si-long Luo
Rok vydání: 2018
Předmět:
Zdroj: Lecture Notes in Electrical Engineering ISBN: 9789811300288
DOI: 10.1007/978-981-13-0029-5_33
Popis: An improved RAIM algorithm is proposed against the inaccurate of small outlier detection and identification, which based on the standard deviation of the unit weight in the positioning solution and in the form of an iterative selection of satellites. At the same time, the RAIM algorithm is applied to the positioning data preprocessing stage while the cycle slips only detect without repair. It solves the problem of the failure of the Hatch-type smoothing during the initial period, because of satellite fault or cycle slips. The results show that the new data processing method combined with Hatch-type filtering and RAIM algorithm can not only solve the divergence problem of Hatch-type filtering, but also can detect and identify 20 m small outlier satellites in different situations, which improve the integrity and positioning accuracy.
Databáze: OpenAIRE