## 5 Conclusions  
The eLoran system, a crucial GNSS auxiliary, is substantially affected by various interferences that can undermine the precision of PNT services. This study proposes a novel PSSD algorithm to enhance the demodulation performance of eLoran signals in challenging noise and interference scenarios. **Key Contributions and Findings:**  
In summary, the implications of this study are twofold: enhancing the robustness and effectiveness of the current eLoran system and promoting the development and application of advanced signal processing techniques. The PSSD algorithm is a significant innovation in signal processing. Our findings show the positive impact of PSSD and lay a solid foundation for future signal processing research. The PSSD algorithm represents a significant innovation in signal processing. 1. Algorithm innovation: The PSSD algorithm utilizes advanced signal processing techniques in the frequency domain, including truncated window sampling and spectral smoothing, to effectively mitigate the impact of noise and interference, remarkably enhancing signal quality and demodulation accuracy. 2. Performance evaluation: Through well-designed experiments, we comprehensively evaluated the performance of the PSSD algorithm under diverse conditions. The experimental results indicate that the PSSD algorithm outperforms the traditional EPD algorithm in all tested situations, particularly in low SNR and complex interference environments  
**Limitations and Future Work:**  
Although the PSSD algorithm has shown excellent performance in theory and experiments, this study has certain limitations. For example, the constraints of receiving terminal hardware and available computational resources may pose challenges to the practical application of the algorithm. Future research needs to address these issues and further optimize the algorithm and explore new types of algorithms. The following specific directions are worthy of exploration:  
1. Hardware implementation and testing: Implement the PSSD algorithm in actual eLoran receivers and test it under a broader and more complex real environment to verify its universality and effectiveness. 2. Algorithm optimization: Develop more efficient algorithm variants or optimization strategies to reduce computational complexity and enhance adaptability to limited-resource hardware. 3. Hardware upgrade and acceleration: Explore improving signal sampling rates and using dedicated accelerators like FPGA to improve the algorithm's performance and enable it to handle complex tasks more efficiently. 4. Algorithm expansion: Explore the application of classic digital signal processing algorithms such as DACM, SVD, and PSI in eLoran demodulation. Analyze their theoretical compatibility with eLoran signals; design implementations and conduct tests under various SNR and interference settings to identify their advantages and disadvantages, thus paving the way for potential integration with the PSSD algorithm. In conclusion, the PSSD algorithm represents a significant step forward in the field of eLoran signal demodulation, offering an effective technical means to the challenges posed by noise and interference. Future research will continue to optimize the algorithm, explore its potential applications in broader scenarios, and ensure the continuous progress and innovation of eLoran systems in the field of communication for the benefit of reliable navigation. **Author Contributions:** Conceptualization, S.L. and S.Z. ; methodology, S.L. ; software, S.L. and W.K. ; validation, S.L. and B.Y. ; formal analysis, S.L. and L.X. ; investigation, S.L. ; resources, Y.H. and S.Z. ; data curation, S.L. ; writing--original draft preparation, S.L. ; writing--review and editing, B.Y. ; visualization, S.L. and W.K. ; supervision, W.K. ; project administration, Y.H. ; funding acquisition, J.L. and L.X. All authors have read and agreed to the published version of the manuscript. **Funding:** This work was mainly supported by the Natural Science Foundation of Sichuan Province (No.