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Instantaneous frequency estimation of intersecting and close multi-component signals with varying amplitudes

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Abstract

Instantaneous frequency (IF) estimation of multi-component signals with closely spaced and intersecting signal components of varying amplitudes is a challenging task. This paper presents a novel iterative time–frequency (TF) filtering approach to address this problem. The proposed algorithm first adopts a high-resolution time–frequency distribution to resolve close components in the TF domain. Then, IF of the strongest signal component is estimated by a new peak detection and tracking algorithm that takes into account both the amplitude and the direction of peaks in the TF domain. The estimated IF is used to remove the strongest component from the mixture, and this process is repeated till the IFs of all signal components are estimated. Experimental results show the superiority of the proposed method as compared to other state-of-the-art methods.

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Authors and Affiliations

  1. Department of Electrical Engineering, Foundation University, Islamabad, Pakistan

    Nabeel Ali Khan

  2. Department of Information Technology, University of Human Development, Sulaimanyah, Iraq

    Mokhtar Mohammadi

  3. Department of Electrical Engineering, University of Engineering and Technology, Peshawar, Pakistan

    Sadiq Ali

Authors
  1. Nabeel Ali Khan
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  2. Mokhtar Mohammadi
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  3. Sadiq Ali
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Correspondence to Nabeel Ali Khan.

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Khan, N.A., Mohammadi, M. & Ali, S. Instantaneous frequency estimation of intersecting and close multi-component signals with varying amplitudes. SIViP 13, 517–524 (2019). https://doi.org/10.1007/s11760-018-1377-7

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  • DOI: https://doi.org/10.1007/s11760-018-1377-7

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