Research on the Acquisition Method of Pseudolite Signal Based on TDMA

Positioning systems based on pseudolites are developing rapidly. In order to overcome the influence of the near-far effect on the positioning accuracy in pseudolite positioning systems, we propose an acquisition method of pseudolite signal based on time division multiple access (TDMA). Firstly, Firstly, we design a method to send the signals of multiple pseudolite base stations in different time slots. Then, we propose a sliding window-based method to improve signal capture in the time domain. Experimental results show that the maximum autocorrelation peak-to-average ratio of the signal captured by our method is 32.38, which far exceeds the preset acquisition threshold. Compared with the traditional acquisition method, our method can effectively resist the influence of the near-far effect on the positioning system.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/eiecs63941.2024.10799974
Primary Topic
Wireless Sensor Networks and IoT
Type
article
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article

Research on the Acquisition Method of Pseudolite Signal Based on TDMA

Yuanchang Wang, Yin Li
Wireless Sensor Networks and IoT
article

Research on the Acquisition Method of Pseudolite Signal Based on TDMA

Yuanchang Wang, Yin Li
article en

Abstract

Positioning systems based on pseudolites are developing rapidly. In order to overcome the influence of the near-far effect on the positioning accuracy in pseudolite positioning systems, we propose an acquisition method of pseudolite signal based on time division multiple access (TDMA). Firstly, Firstly, we design a method to send the signals of multiple pseudolite base stations in different time slots. Then, we propose a sliding window-based method to improve signal capture in the time domain. Experimental results show that the maximum autocorrelation peak-to-average ratio of the signal captured by our method is 32.38, which far exceeds the preset acquisition threshold. Compared with the traditional acquisition method, our method can effectively resist the influence of the near-far effect on the positioning system.

China Railway Fifth Survey and Design Institute Group (CN)
Openalex Percentile: Top 71%
Wireless Sensor Networks and IoT
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