TOA estimation of channel data in multipath environment

Jia Li; Yong Li

doi:10.1117/12.2679073

15 May 2023 TOA estimation of channel data in multipath environment

Jia Li, Yong Li

Proceedings Volume 12699, Third International Conference on Sensors and Information Technology (ICSI 2023); 126990U (2023) https://doi.org/10.1117/12.2679073
Event: International Conference on Sensors and Information Technology (ICSI 2023), 2023, Xiamen, China

Abstract

Indoor geolocation technique based on the time-of-arrival (TOA) has advantages of low cost, high accuracy compared with other location technologies. However, traditional TOA estimation methods based on signal correlation or peak finding have difficulty keeping high ranging accuracy and robustness in multipath conditions. To address the problem, an efficient and easily-implemented algorithm as a high-resolution TOA estimator in multipath environments is presented in this paper. Numerical simulation is conducted to verify the performance of the proposed TOA estimation algorithm. Results show the algorithm outperforms conventional method in estimation accuracy and robustness.

Citation Download Citation

Jia Li and Yong Li "TOA estimation of channel data in multipath environment", Proc. SPIE 12699, Third International Conference on Sensors and Information Technology (ICSI 2023), 126990U (15 May 2023); https://doi.org/10.1117/12.2679073

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