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Time-Frequency Ridge-Based Parameter Estimation for Sinusoidal Frequency Modulation Signals

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Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

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Abstract

In this paper, the time-frequency (TF) ridge technique is employed to obtain the accurate parameters estimation of the sinusoidal frequency modulation (SFM) signals. By extracting the TF ridge, a high energy-concentrated time-frequency representation (TFR) of the given signal can be obtained. And then a TF ridge-based method for estimating parameters of the SFM signal is proposed. The advantages of this method over the S-method-based method are (1) it can be easily implemented, (2) it costs less computation and storage space, and (3) it has a high precision. Numerical results provided in this paper show the superiority of the novel method.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China (grant 61471149 and 61622107), the State Key Laboratory of Millimeter Waves (grant K201708).

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Correspondence to Yong Wang .

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Wang, Z., Wang, Y., Xu, L. (2019). Time-Frequency Ridge-Based Parameter Estimation for Sinusoidal Frequency Modulation Signals. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_165

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_165

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

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