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International Conference on Intelligent Science and Intelligent Data Engineering

IScIDE 2011: Intelligent Science and Intelligent Data Engineering pp 706–712Cite as

A New Type CFAR Detectors Based on Censored Mean and Cell Average

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

Abstract

A new type constant false alarm rate (CFAR) detectors based on censored mean(CM) and cell average(CA) is proposed in this paper. they use the logic operation (the mean value, the greatest value or the smallest value )of CM and CA local estimations as a noise power estimation. Under Swerling II target models and homogeneous background assumption, the analytic expressions of Pd and Pfa are derived for the three detectors. Their detection performance is analyzed in homogeneous background and in multiple interfering targets situation. The results show that the detection performance of the mean value of CM and CA detector is better.

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References

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Author information

Authors and Affiliations

  1. College of Electronics and Information, NorthWestern Polytechnical University, Xi’an, 710129, China

    Jian Ma

  2. The Engineering Institute, Air Force Engineering University, Xi’an, 710038, China

    Jian Ma, Lan Wu, Songtao Xu, Yunshan Xu & Haibao Xia

Authors
  1. Jian Ma
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  2. Lan Wu
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  3. Songtao Xu
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  4. Yunshan Xu
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  5. Haibao Xia
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Editor information

Editors and Affiliations

  1. School of Computer Science, Northwestern Polytechnical University, West Youyi Road No. 127, 710072, Xi’an, China

    Yanning Zhang  & Ying Li  & 

  2. National Key Laboratory for Novel Software Technology, Nanjing University, 210046, Nanjing, China

    Zhi-Hua Zhou

  3. Department of Automation, Tsinghua University, 100084, Beijing, China

    Changshui Zhang

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© 2012 Springer-Verlag Berlin Heidelberg

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Ma, J., Wu, L., Xu, S., Xu, Y., Xia, H. (2012). A New Type CFAR Detectors Based on Censored Mean and Cell Average. 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_90

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  • DOI: https://doi.org/10.1007/978-3-642-31919-8_90

  • 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)

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