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Multicomponent AM-FM signal separation and demodulation with null space pursuit

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Abstract

The operator-based signal separation approach, which formulates signal separation as an optimization problem, uses an adaptive operator to separate a signal into additive subcomponents. Furthermore, it is possible to design different operators to fit different signal models. In this paper, we propose a new kind of differential operator to separate multicomponent AM-FM signals. We then use the estimated operators to calculate each sub-component’s envelope and instantaneous frequency. To demonstrate the efficacy of the proposed method, we compare the decomposition and AM-FM demodulation results of several signals, including real-life signals.

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Authors and Affiliations

  1. Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, People’s Republic of China

    Xiyuan Hu & Silong Peng

  2. Institute of Information Science, Academia Sinica, Taipei, 11529, Taiwan, Republic of China

    Wen-Liang Hwang

  3. Department of Information Management, Kainan University, Taoyuan County, 33857, Taiwan, Republic of China

    Wen-Liang Hwang

Authors
  1. Xiyuan Hu
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  2. Silong Peng
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  3. Wen-Liang Hwang
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Correspondence to Silong Peng.

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Hu, X., Peng, S. & Hwang, WL. Multicomponent AM-FM signal separation and demodulation with null space pursuit. SIViP 7, 1093–1102 (2013). https://doi.org/10.1007/s11760-012-0354-9

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  • DOI: https://doi.org/10.1007/s11760-012-0354-9

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