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Angular Resolving of Two Closely Spaced Jammers Based on Average AOA

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Book cover Intelligent Science and Intelligent Data Engineering (IScIDE 2011)

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

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Abstract

An angular resolving method of two closely spaced jammers for passive monopulse seeker is presented in this paper. In the case of two narrowband noise frequency modulation (FM) jammers within main beam, an analysis of average angle of arrival (AOA) shows that the average AOA does not point to the centroid, but the stronger jammer. So the stronger jammer can be resolved in angle by using average angle of arrival-the big signal method. In the case of multipath, the real jammer can also be resolved by using the big signal method. The method is verified with the results of computer simulation.

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References

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Author information

Authors and Affiliations

  1. School of Engineering, Air Force Engineering University, Xi’an, China

    Songtao Xu, Jian Ma, Lan Wu & Shengda Wang

Authors
  1. Songtao Xu
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  2. Jian Ma
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  3. Lan Wu
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  4. Shengda Wang
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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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Xu, S., Ma, J., Wu, L., Wang, S. (2012). Angular Resolving of Two Closely Spaced Jammers Based on Average AOA. 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_88

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  • DOI: https://doi.org/10.1007/978-3-642-31919-8_88

  • 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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