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Local Iterative Searching Dechirp Algorithm for Linear Frequency-Modulated Signal Parameter Estimation in Low SNR Condition

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Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 128))

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Abstract

This paper analyses the existing methods for linear frequency modulated (LFM) signal parameters estimation methods. A new fast algorithm named as local iterative searching dechirp algorithm which combined segmented correlation dechirp method, interpolation and extrapolation method and golden section method together to get the accurate estimation of LFM signal parameters. After that, the validity of this new algorithm has been simulated when LFM signal is not exist at the beginning or the ending of the received signal.

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Author information

Authors and Affiliations

  1. College of Com. Eng., Chengdu Univ. of Info. Tech., Chengdu, china

    Yingxiang Li & Yingjie Peng

  2. Automatization College, Chongqing Univ., Chongqing, china

    Zhaibing Zhang

Authors
  1. Yingxiang Li
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  2. Yingjie Peng
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  3. Zhaibing Zhang
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Editor information

Editors and Affiliations

  1. , College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, Jilin, 130012, China, People's Republic

    Zhihong Qian

  2. , Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, Mississippi, 38677, Mississippi, USA

    Lei Cao

  3. , Department of Electrical and Computer En, Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, Monterey, 93943-5121, California, USA

    Weilian Su

  4. , Faculty of Computing, London Metropolitan University, Holloway Road 166-220, London, N7 8DB, United Kingdom

    Tingkai Wang

  5. , College of Software, Changchun University of Science and Tech, Changchun, Jilin, 130022, China, People's Republic

    Huamin Yang

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Li, Y., Peng, Y., Zhang, Z. (2012). Local Iterative Searching Dechirp Algorithm for Linear Frequency-Modulated Signal Parameter Estimation in Low SNR Condition. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25792-6_19

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  • DOI: https://doi.org/10.1007/978-3-642-25792-6_19

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25791-9

  • Online ISBN: 978-3-642-25792-6

  • eBook Packages: EngineeringEngineering (R0)

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