Enhanced Program for Satellite Cycle Slip Detection and Repair Using Polynomial Fitting Method

This article presents an enhanced program that utilizes polynomial fitting methodology for satellite cycle slip detection and repair. This approach represents an effective GPS technique particularly suitable for foundational learning. Through polynomial fitting implementation, we achieve more precise detection and correction of cycle slips while gaining deeper insights into GPS technology fundamentals. The program typically involves key computational steps including: data preprocessing for phase observation smoothing, polynomial coefficient calculation using least squares algorithms, residual analysis for slip detection, and cycle count restoration through interpolation techniques. The article will detail the mathematical principles behind polynomial fitting applications and provide practical examples featuring core functions such as observation data filtering, fitting error threshold configuration, and cycle slip compensation algorithms. These implementations help learners better comprehend the technology while developing hands-on GPS data processing skills. This resource aims to assist GPS beginners in enhancing their understanding of satellite cycle slip detection and repair methodologies.