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Time-Frequency Filtering for LFM Based on Time S-Transform and Time Inverse S-Transform

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Advances in Electronic Engineering, Communication and Management Vol.2

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 140))

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Abstract

The Linear Frequency Modulation (LFM) signal is a classical non-stationary random signal. And the processing method to LFM must expand from frequency domain to time-frequency domain. The S transform (ST) is a time-frequency analysis method which has an adaptive window, and the width changes with frequency. The classical ST algorithm is Time S-transform, and the corresponding inverse ST (IST) is Time IST. In this paper, the Time ST and Time IST algorithms are applied to the filtering of LFM. Simulation results show us that the method is effective to the LFM filtering.

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Author information

Authors and Affiliations

  1. Department of Electronic Information Engineering, Naval Aeronautical and Astronautical University, Yantai, 264001, China

    HuaShan Chi, HongXing Wang & PeiHong Zhao

  2. Optical Fiber Sensor Laboratory, Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China

    HuaShan Chi & Min Zhang

Authors
  1. HuaShan Chi
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  2. HongXing Wang
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  3. Min Zhang
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  4. PeiHong Zhao
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Editor information

Editors and Affiliations

  1. International Science & Education Researcher Association, Special No.1, Jiangxia Road of Wuhan, Wuhan, China, People’s Republic

    David Jin

  2. International Science & Education Researcher Association, Jinheng Road 144, Guangzhou, China, People’s Republic

    Sally Lin

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© 2012 Springer Berlin Heidelberg

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Chi, H., Wang, H., Zhang, M., Zhao, P. (2012). Time-Frequency Filtering for LFM Based on Time S-Transform and Time Inverse S-Transform. In: Jin, D., Lin, S. (eds) Advances in Electronic Engineering, Communication and Management Vol.2. Lecture Notes in Electrical Engineering, vol 140. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27296-7_33

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  • DOI: https://doi.org/10.1007/978-3-642-27296-7_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27295-0

  • Online ISBN: 978-3-642-27296-7

  • eBook Packages: EngineeringEngineering (R0)

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