A novel parameter estimation method of chirp signal based on Fractional Fourier Transform
Rong Chen, Yiming Wang
Abstract
Rong Chen, Yiming Wang
Abstract
Currently, the realization of parameter estimation of chirp signal using Fractional Fourier Transform (FRFT) is based on the assumption that the sampling duration of the practical observed signal is equal to the time duration of the chirp signal which is contained in the former. Actually, this assumption is not reasonable and there is limitation in application of the existing parameter estimation method. On the basis of analyzing the practical signal form, this paper derives the estimation error of the existing parameter estimation method and then proposes a novel and general parameter estimation method. Simulation results verify that the new method is effective.
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Currently, the realization of parameter estimation of chirp signal using Fractional Fourier Transform (FRFT) is based on the assumption that the sampling duration of the practical observed signal is equal to the time duration of the chirp signal which is contained in the former. Actually, this assumption is not reasonable and there is limitation in application of the existing parameter estimation method. On the basis of analyzing the practical signal form, this paper derives the estimation error of the existing parameter estimation method and then proposes a novel and general parameter estimation method. Simulation results verify that the new method is effective.
Key concepts: Chirp, Fractional Fourier transform, SIGNAL (programming language), Estimation theory, Fourier transform, Realization (probability), Computer science, Algorithm