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Anti-interference of Direct Sequence Spread Spectrum System Based on Wavelet and Eigenvalue Decomposition

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Proceedings of the 8th China High Resolution Earth Observation Conference (CHREOC 2022) (CHREOC 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 969))

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Abstract

Limited by the processing gain of the spread spectrum system, the high power interference in the satellite space-to-earth communication cannot be suppressed effectively. It will bring high Bit Error Rate(BER) to the telemetry、track and command(TT&C) link. Based on the analysis of the Direct Sequence Spread Spectrum (DSSS) system in anti-interference, a method of anti-interference in DSSS is proposed in this paper. Combining the advantages of Wavelet Transform(WT) in singularity detection and Eigenvalue Decomposition(ED) in blind source separation, the method based on WD and ED is proposed. The simulation results indicate that the method can suppress the interference effectively and will improve the anti-interference ability of DSSS.

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Correspondence to Zhao Tengfei .

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Tengfei, Z., Zhao, S., Jie, S., Junyao, L., Peijie, L. (2023). Anti-interference of Direct Sequence Spread Spectrum System Based on Wavelet and Eigenvalue Decomposition. In: Wang, L., Wu, Y., Gong, J. (eds) Proceedings of the 8th China High Resolution Earth Observation Conference (CHREOC 2022). CHREOC 2022. Lecture Notes in Electrical Engineering, vol 969. Springer, Singapore. https://doi.org/10.1007/978-981-19-8202-6_4

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  • DOI: https://doi.org/10.1007/978-981-19-8202-6_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-8201-9

  • Online ISBN: 978-981-19-8202-6

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