Parameter estimation of periodic frequency modulated signal based on cyclic spectrum density and its application on micro-Doppler signatures extraction
Abstract:This paper focus on parameter estimation of periodic frequency modulated (PFM) signals, which can be observed from periodic phenomena in nature. For example, radar returns scattered from a walking person. In this work, a method for estimating the period of the PFM signal is proposed, which combines time-frequency distribution (TFD) and cyclic spectrum density (CSD). TFD is used to transform the nonstationary PFM signal into a stationary one with the same period while CSD can estimate the period of a signal in … Show more
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