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Evaluation of C/N0 raw observation positioning by smartphone based on indoor asynchronous pseudolite by Xiangchen Lu; Liang Chen; Nan Shen; Jiahui Jiang; Yue Dai; Ruizhi Chen is a Engineering article available to read on EtoBox.

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## Abstract With the rapid development of the economy and information services, there is an increasing demand for indoor positioning. However, Global Navigation Satellite System (GNSS) signals face difficulties in penetrating buildings, making indoor positioning challenging. As a complementary solution to outdoor GNSS signals, pseudolites have shown promising results in various scenarios, and have become one of the research hotspots in the field of indoor positioning. Previous studies on indoor positioning with pseudolites have focused on issues such as initial position determination and carrier phase ambiguity resolution. However, most of these studies have remained in the research stage due to data post-processing and complex calculations. To overcome the limitations associated with the aforementioned factors, this paper proposes a real-time indoor positioning method that utilizes only a smartphone equipped with a built-in GNSS chip. By effectively obtaining pseudolite signal information, the smartphone establishes a simple model based on the distance and received power between the pseudolite and the smartphone. Kalman filtering is employed to mitigate the effects of multipath an

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Author

Xiangchen Lu; Liang Chen; Nan Shen; Jiahui Jiang; Yue Dai; Ruizhi Chen

Publisher

Springer Science and Business Media LLC

Published

2024

Language

EN

Field

Engineering (Physical Sciences)