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A Novel Algorithm for CPM-Signal Endpoint Detection Based on Auto Correlation

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Part of the Lecture Notes in Computer Science book series (LNIP,volume 7202)

Abstract

Based on analyses and research the correlation characteristic of MSK signal, this paper present a novelalgorithm to detect the endpoint of MSK signal pulse. This is accomplished by computing the short time auto correlation of received signal with a sliding window. Since the computation quantity of this algorithm is small it can be easily applied to engineering. The simulation results show that this algorithm could limit the estimate error under a quarter of the code width when SNR above 5dB.

Keywords

  • CPM
  • MSK
  • Auto correlation
  • Endpoint detection

This work was supported in part by the National Science Foundation of China under Grant (Program No. 60971100) and in part by Natural Science Basic Research Plan in Shaanxi Province of China (Program No. 2010JQ8003, 2010JM8037).

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References

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© 2012 Springer-Verlag Berlin Heidelberg

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Zhang, D., Guo, Y. (2012). A Novel Algorithm for CPM-Signal Endpoint Detection Based on Auto Correlation. In: Zhang, Y., Zhou, ZH., Zhang, C., Li, Y. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2011. Lecture Notes in Computer Science, vol 7202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31919-8_14

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  • DOI: https://doi.org/10.1007/978-3-642-31919-8_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31918-1

  • Online ISBN: 978-3-642-31919-8

  • eBook Packages: Computer ScienceComputer Science (R0)