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A Parameter Estimation Algorithm for Linear Frequency Modulated Continuous Wave Signal Based on Periodic Choi-Williams Hough Transform

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Innovative Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 791))

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Abstract

Based on periodic Choi-Williams Hough transformation, the parameters of LFM CW signal are estimated in this paper to solve the problem of difficult signal detection and parameter estimation in practical application.

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References

  1. WentaoZ, Wentao S, Hongtao Y, Junbo Z, Jianbo Z (2014) Detection and parameter estimation algorithm, signal detection and parameter estimation algorithm. J Elect Info

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  2. Zhihao F, Chunhua L, Yujie Z (2012) Parameter estimation of symmetric triangular linear frequency modulation signal under low signal-to-noise ratio. J Radio Sci

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  3. Liu F, Tao R (2011). FRFT based symmetric triangle LFMCW signal detection and parameter estimation. J Elect Info

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Author information

Authors and Affiliations

  1. Science and Technology College, Gannan Normal University, Ganzhou, 341000, Jiangxi, China

    Qiang Wu & Guanghua Huang

Authors
  1. Qiang Wu
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  2. Guanghua Huang
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Corresponding author

Correspondence to Qiang Wu .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung, Taiwan

    Jason C. Hung

  2. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung City, Taiwan

    Jia-Wei Chang

  3. Department of Computer Science and Engineering, University of Aizu, Fukushima, Japan

    Yan Pei

  4. Department of Finance, Feng Chia University, Taichung, Taiwan

    Wei-Chen Wu

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Cite this paper

Wu, Q., Huang, G. (2022). A Parameter Estimation Algorithm for Linear Frequency Modulated Continuous Wave Signal Based on Periodic Choi-Williams Hough Transform. In: Hung, J.C., Chang, JW., Pei, Y., Wu, WC. (eds) Innovative Computing . Lecture Notes in Electrical Engineering, vol 791. Springer, Singapore. https://doi.org/10.1007/978-981-16-4258-6_227

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  • DOI: https://doi.org/10.1007/978-981-16-4258-6_227

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-4257-9

  • Online ISBN: 978-981-16-4258-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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