@inproceedings{0527531bcbf8494fb879d13bc112fd20,
title = "High-precision Acquisition Algorithm Based on PMF-FFT in High Dynamic and Low SNR Environment",
abstract = "This paper proposes a dual-frequency offset estimation capture algorithm based on PMF-FFT to address the limitations of the traditional approach in low signal-To-noise ratio and high dynamic environments. The algorithm introduces a new improved window to resolve output gain attenuation and fan-shaped spectrum loss in high dynamic conditions. Additionally, it enhances signal-To-noise ratio using a differential coherent accumulation module and compensates for local carrier frequency offset via first-level FFT coarse estimation. Furthermore, increasing the second-level PMF length further improves capture accuracy. The simulation results show improved capture probability, demonstrating excellent precision and performance in low signal-To-noise ratio and high dynamic environments.",
keywords = "PMF-FFT, differential coherent accumulation, frequency offset correction, high dynamic, low signal-To-noise ratio, windowing",
author = "Xiaochen Bai and Yuan Zhao and Huaiyuan Qi and Yangyang Liu and Zesheng Dan and Chengkai Tang",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023 ; Conference date: 14-11-2023 Through 17-11-2023",
year = "2023",
doi = "10.1109/ICSPCC59353.2023.10400222",
language = "英语",
series = "Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023",
}