Simulation and Analysis of the PMF-FFT Pseudocode Acquisition Algorithm

In the process of low orbit satellite navigation search and rescue, there is significant relative motion between the satellite and the ground, resulting in substantial Doppler frequency shifts. Spread spectrum communication technology is introduced to address this type of scenario. The PMF-FFT (Partial Match Filtering Fast Fourier Transform) algorithm is a well-established signal acquisition algorithm in spread spectrum systems. To mitigate the correlation loss in the PMF part of this algorithm, we introduce a new windowing function. Additionally, for the sector loss generated in the FFT part, we introduce another window to improve the situation. Simulation results show that the introduction of these two window functions has a significant effect on mitigating losses and compensating for attenuation in this algorithm.

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Publication Details

Published
2024-08-19
DOI
https://doi.org/10.1109/icspcc62635.2024.10770510
Primary Topic
Advanced Sensor and Control Systems
Type
article
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Simulation and Analysis of the PMF-FFT Pseudocode Acquisition Algorithm

Chengkai Tang, Xiaochen Bai, Xianling Wang, Xie Han et al.
Advanced Sensor and Control Systems
article

Simulation and Analysis of the PMF-FFT Pseudocode Acquisition Algorithm

Chengkai Tang, Xiaochen Bai, Xianling Wang, Xie Han, Donghang Chai, Hong Liu
article en

Abstract

In the process of low orbit satellite navigation search and rescue, there is significant relative motion between the satellite and the ground, resulting in substantial Doppler frequency shifts. Spread spectrum communication technology is introduced to address this type of scenario. The PMF-FFT (Partial Match Filtering Fast Fourier Transform) algorithm is a well-established signal acquisition algorithm in spread spectrum systems. To mitigate the correlation loss in the PMF part of this algorithm, we introduce a new windowing function. Additionally, for the sector loss generated in the FFT part, we introduce another window to improve the situation. Simulation results show that the introduction of these two window functions has a significant effect on mitigating losses and compensating for attenuation in this algorithm.

Northwestern Polytechnical University (CN), Xiamen University of Technology (CN)
Openalex Percentile: Top 69%
Advanced Sensor and Control Systems
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