Tekrarlı yaya yürüyüşü ve kısa süreli kinematik GPS+GLONASS gözlemleriyle PPP yönteminin performans analizi

Tunalıoğlu, Nursu

doi:10.9733/jgg.2020r0008.t

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…In the Equation ( 14 (15) By using the Equation ( 15), the ambiguity of WL is fixed. Satellite FCB values from a single receiver are calculated by using epoch-average as shown in Equation (15). However, the average FCB value computed by using epoch-average from network can be broadcast to the users.…”

Section: Sdbs Model For Fcb Estimationmentioning

confidence: 99%

“…By applying the satellite decoupled clock corrections and estimating the receiver decoupled clock parameters, both the undifferenced integer WL and N1 ambiguities can be directly estimated [9]. Also, the performance of the PPP-AR technique for different applications has been investigated and the efficiency of the PPP-AR technique comparing with PPP has been carried out [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

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Machine Learning Algorithms for FCB Estimation in PPP-AR Technique

Karlitepe,

Erdogan

2024

Preprint

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Precise Point Positioning (PPP) technique have shown continuous improvement regarding positioning. The recent developments in PPP-AR (Ambiguity Resolution) have facilitated the resolution of integer ambiguity. Thereby, the observation period needed for the convergence time, which is considered as a disadvantage of PPP, has been shortened. Furthermore, the integer ambiguity is not independent source of error but influenced by the Fractional Cycle Bias (FCB) products. This study aims to investigate the effects of the FCBs in PPP-AR technique, which reduces the convergence time. For FCB estimation, machine learning was applied by modifying the functional model of the Single Difference Between Satellite (SDBS) technique. The incorporation of these algorithms enables estimation of FCB values, even for relatively small values. It can be asserted that the support vector machine performs than both the random forest and the SDBS model regarding success. For the integer ambiguity solution PPP-AR demonstrates superior performance compared to PPP.

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Section: Sdbs Model For Fcb Estimationmentioning

confidence: 99%