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Automatic Tracking Angle of Arrival of Bandpass Sampling OFDM Signal by MUSIC Algorithm

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Grid and Pervasive Computing (GPC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7861))

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Abstract

In this paper, a combined OFDM system and bandpass sampling method using Multiple Signal Classification(MUSIC) algorithm for automatic (angle of arrival) AOA tracking is discussed. And we propose a new method that adding (time division multiplexing)TDM with bandpass sampling in the same time to avoid interference due to RF filter characteristics. Also, we consider Doppler effect for the targets’ movement and after compensating the Doppler effect with a valid range , the system performances well. Computer simulation shows that the performances of MUSIC spectrum for AOA due to various conditions and demonstrates the accuracy of AOA estimations.

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Authors and Affiliations

  1. Department of Electronic Engineering, Chungbuk National University, Cheongju, Korea

    Xin Wang & Heung-Gyoon Ryu

Authors
  1. Xin Wang
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  2. Heung-Gyoon Ryu
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science and Technology (SeoulTech), 139-743, Seoul, Korea

    James J. (Jong Hyuk) Park

  2. Department of Computer Science, University of Georgia, 30602-7404, Athens, GA, USA

    Hamid R. Arabnia

  3. Department of Computer Science and Engineering, Sejong University, 143-747, Seoul, Korea

    Cheonshik Kim

  4. Department of Computer Science, Wayne State University, 48202, Detroit, MI, USA

    Weisong Shi

  5. School of Information Technology Engineering, Catholic University of Daegu, 712-702, Gyeongsan-si, Gyeongbuk, Korea

    Joon-Min Gil

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© 2013 Springer-Verlag Berlin Heidelberg

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Wang, X., Ryu, HG. (2013). Automatic Tracking Angle of Arrival of Bandpass Sampling OFDM Signal by MUSIC Algorithm. In: Park, J.J.(.H., Arabnia, H.R., Kim, C., Shi, W., Gil, JM. (eds) Grid and Pervasive Computing. GPC 2013. Lecture Notes in Computer Science, vol 7861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38027-3_97

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  • DOI: https://doi.org/10.1007/978-3-642-38027-3_97

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38026-6

  • Online ISBN: 978-3-642-38027-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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