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<p>In this paper, a two-step procedure is proposed for estimating the parameters of multitone sinusoidal frequency-modulated (MTSFM) signals. In the first stage, coarse parameter estimates are obtained from the instantaneous frequency (IF), while in the second stage, refined estimates are derived from the reconstructed signal phase. Throughout both stages, the multicomponent sinusoidal signal parameters are estimated using fast and robust techniques based on interpolation of the discrete Fourier transform (DFT). Three recent DFT-based estimators are evaluated and compared, with the best performance achieved using the Hybrid AM and <i>q</i>-Shift Estimator (HAQSE). The proposed approach lowers the signal-to-noise ratio (SNR) threshold for resolvable components to below 0 dB. The proposed technique is tested on a human gait micro-Doppler model that allows deviations from the MTSFM model.</p>

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Parameter estimation of multitone sinusoidal frequency modulation signal model

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月4日

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  • Igor Djurović,
  • Adam Wojciechowski

摘要

In this paper, a two-step procedure is proposed for estimating the parameters of multitone sinusoidal frequency-modulated (MTSFM) signals. In the first stage, coarse parameter estimates are obtained from the instantaneous frequency (IF), while in the second stage, refined estimates are derived from the reconstructed signal phase. Throughout both stages, the multicomponent sinusoidal signal parameters are estimated using fast and robust techniques based on interpolation of the discrete Fourier transform (DFT). Three recent DFT-based estimators are evaluated and compared, with the best performance achieved using the Hybrid AM and q-Shift Estimator (HAQSE). The proposed approach lowers the signal-to-noise ratio (SNR) threshold for resolvable components to below 0 dB. The proposed technique is tested on a human gait micro-Doppler model that allows deviations from the MTSFM model.