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Single-Channel Source Separation of Multi-Component Radar Signal with the Same Generalized Period Using ICA

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Abstract

A novel method of single-channel source separation based on independent component analysis (ICA) is presented in this study. The method utilizes the generalized period character of radar signals to structure a multi-dimensional matrix and then uses said matrix to accomplish ICA. Simulation results demonstrate the proposed method’s effectiveness.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (61301216) and the National Defense Pre-Research Foundation of China (9140A05020212DQ0201).

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Authors and Affiliations

  1. School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China

    Hang Zhu, Shuning Zhang & Huichang Zhao

  2. Unit 73015 of PLA, Huzhou, 313005, China

    Hang Zhu

Authors
  1. Hang Zhu
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  2. Shuning Zhang
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  3. Huichang Zhao
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Corresponding author

Correspondence to Shuning Zhang.

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Zhu, H., Zhang, S. & Zhao, H. Single-Channel Source Separation of Multi-Component Radar Signal with the Same Generalized Period Using ICA. Circuits Syst Signal Process 35, 353–363 (2016). https://doi.org/10.1007/s00034-015-0061-1

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  • DOI: https://doi.org/10.1007/s00034-015-0061-1

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