High-precision Acquisition Algorithm Based on PMF-FFT in High Dynamic and Low SNR Environment

Xiaochen Bai, Yuan Zhao, Huaiyuan Qi, Yangyang Liu, Zesheng Dan, Chengkai Tang

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

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.

源语言英语
主期刊名Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798350316728
DOI
出版状态已出版 - 2023
活动2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023 - Zhengzhou, Henan, 中国
期限: 14 11月 202317 11月 2023

出版系列

姓名Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023

会议

会议2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023
国家/地区中国
Zhengzhou, Henan
时期14/11/2317/11/23

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