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<p>With the popularization of satellite navigation technology, weak signal receiver technology becomes very important. To solve the problem of weak receiving signal in satellite navigation, a signal receiving algorithm based on partial matching filter and fast Fourier transform is proposed. This algorithm combines matched filtering algorithm and fast Fourier transform, aiming to enhance the accuracy and speed of signal acquisition and tracking. The experiment outcomes denote that compared with traditional receiving algorithms, the proposed algorithm has a positioning accuracy of over 90% in weak signal environments, while the positioning accuracy of other algorithms fluctuates between 70–80%. This indicates that the raised algorithm can provide relatively accurate position estimation in most cases and has higher positioning accuracy. The error rate of the proposed algorithm is in the range of 0–0.1, while the error rates of other algorithms are in the range of 0.02–0.16, indicating that the error rate of the proposed algorithm is lower. When transmitting the same number of bits, the amount of error bits in the proposed algorithm is relatively small. By conducting in-depth research on signal receiver algorithms based on partially matched filtering and fast Fourier transform, technological progress and innovative development in this field can be promoted, and the upgrading and improvement of the entire industry chain can be promoted. By conducting in-depth research on signal receiver algorithms based on partially matched filtering and fast Fourier transform, technological progress and innovative development in this field can be promoted, and the upgrading and improvement of the entire industry chain can be promoted.</p>

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Satellite navigation weak signal receiver algorithm based on PMF-FFT algorithm model

  • 期刊论文

  • 发表日期：

    2026年4月12日

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  • Zhaoliang Duan

摘要

With the popularization of satellite navigation technology, weak signal receiver technology becomes very important. To solve the problem of weak receiving signal in satellite navigation, a signal receiving algorithm based on partial matching filter and fast Fourier transform is proposed. This algorithm combines matched filtering algorithm and fast Fourier transform, aiming to enhance the accuracy and speed of signal acquisition and tracking. The experiment outcomes denote that compared with traditional receiving algorithms, the proposed algorithm has a positioning accuracy of over 90% in weak signal environments, while the positioning accuracy of other algorithms fluctuates between 70–80%. This indicates that the raised algorithm can provide relatively accurate position estimation in most cases and has higher positioning accuracy. The error rate of the proposed algorithm is in the range of 0–0.1, while the error rates of other algorithms are in the range of 0.02–0.16, indicating that the error rate of the proposed algorithm is lower. When transmitting the same number of bits, the amount of error bits in the proposed algorithm is relatively small. By conducting in-depth research on signal receiver algorithms based on partially matched filtering and fast Fourier transform, technological progress and innovative development in this field can be promoted, and the upgrading and improvement of the entire industry chain can be promoted. By conducting in-depth research on signal receiver algorithms based on partially matched filtering and fast Fourier transform, technological progress and innovative development in this field can be promoted, and the upgrading and improvement of the entire industry chain can be promoted.