PRG: A Distance Measurement Algorithm Based on Phase Regeneration
AbstractWith the booming development of the Internet of things (IoT) industry, the demand of positioning technology in various IoT application scenarios is also greatly increased. To meet the positioning requirements of the IoT application, we propose a distance measurement method based on phase regeneration that can provide positioning capability for IoT applications in indoor and outdoor environments. The PRG algorithm consists of two phases: coarse ranging phase and fine ranging phase. Fingerprint positioning algorithm based on Gradient Boost Decision Tree (GBDT) is used to determine coarse distance. The host machine measures the difference between the transmitted carrier phase and the received regenerative carrier phase to fix the fine distance and then the coarse distance is used to determine the carrier phase integer ambiguity. Finally, high precision ranging is realized. Simulation results show that the PRG method can achieve range finding with decimeter level precision under the 10 MHz subcarrier frequency. View Full-Text
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Cui, Y.; Zhu, D.; Liu, Y. PRG: A Distance Measurement Algorithm Based on Phase Regeneration. Sensors 2018, 18, 2595.
Cui Y, Zhu D, Liu Y. PRG: A Distance Measurement Algorithm Based on Phase Regeneration. Sensors. 2018; 18(8):2595.Chicago/Turabian Style
Cui, Yansong; Zhu, Di; Liu, Yanxu. 2018. "PRG: A Distance Measurement Algorithm Based on Phase Regeneration." Sensors 18, no. 8: 2595.
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