Parameters estimation of sinusoidal frequency modulation signal with application in synthetic aperture radar imaging

Yong Wang; Zhaofa Wang; Bin Zhao; Liang Xu

doi:10.1117/1.JRS.10.020502

31 May 2016 Parameters estimation of sinusoidal frequency modulation signal with application in synthetic aperture radar imaging

Yong Wang, Zhaofa Wang, Bin Zhao, Liang Xu

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 10, Issue 2, 020502 (May 2016). https://doi.org/10.1117/1.JRS.10.020502

Abstract

A method for estimating the parameters of the sinusoidal frequency modulation (SFM) signal is presented in this paper. Based on the modified discrete sinusoid frequency modulation transform (DSFMT), the SFM signal can be transformed into the DSFMT domain where it is energy-concentrated and then the parameters can be estimated by the global maximum. To search for the location of the global maximum with less computational load, particle swarm optimization is used in this paper. Then the algorithm is used in the synthetic aperture radar imaging with high frequency vibration of the platform, and the focus performance can be improved significantly. Simulation results demonstrate the effectiveness of the method proposed in this paper.

Citation Download Citation

Yong Wang, Zhaofa Wang, Bin Zhao, and Liang Xu "Parameters estimation of sinusoidal frequency modulation signal with application in synthetic aperture radar imaging," Journal of Applied Remote Sensing 10(2), 020502 (31 May 2016). https://doi.org/10.1117/1.JRS.10.020502

Published: 31 May 2016

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