Paper
23 May 2022 Research on time parameter estimation of frequency hopping signal
Rui Guo, Qinshan Zhou, Yue Li, Jingkai Shang, Xiaolong Chen
Author Affiliations +
Proceedings Volume 12254, International Conference on Electronic Information Technology (EIT 2022); 122541N (2022) https://doi.org/10.1117/12.2638637
Event: International Conference on Electronic Information Technology (EIT 2022), 2022, Chengdu, China
Abstract
Frequency hopping signal has attracted widespread attention in the fields of civil and military communication since its appearance because of its unique anti-interference performance. At present, the time parameter estimation algorithm of frequency hopping signal is mainly based on the extraction of spectral peak. This kind of method has large amount of calculation, low accuracy and is easy to be disturbed by noise. In this paper, a parameter estimation method based on standard state frequency and tolerance value is proposed for the time parameter estimation of frequency hopping signal. The time parameters of frequency hopping signal are estimated by using the mutation characteristics of frequency hopping signal at the hopping moment. Simulation results show that this method can accurately estimate the time parameters of frequency hopping signal. Among them, the error between the estimated value of the frequency hopping start time, the frequency hopping end time, and the frequency hopping period is less than 0.1% compared with the actual value. Compared with traditional methods, the accuracy can be improved by more than 10%.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rui Guo, Qinshan Zhou, Yue Li, Jingkai Shang, and Xiaolong Chen "Research on time parameter estimation of frequency hopping signal", Proc. SPIE 12254, International Conference on Electronic Information Technology (EIT 2022), 122541N (23 May 2022); https://doi.org/10.1117/12.2638637
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KEYWORDS
Signal processing

Interference (communication)

Data conversion

Time-frequency analysis

Tolerancing

Error analysis

Frequency conversion

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