Parameter estimation of chirp signals based on fractional Fourier transform

The purpose of this project is to implement the fractional Fourier transform (FrFT) on chirp signals and realize the detection and parameter estimation of different chirp signals. In the application of FrFT, pre-estimated method is proposed in this paper to improve the speed of peak searching in the parameter estimation, and suitable dimensional normalization method is selected. So that, a faster and more effective pre-estimation searching method is proposed, and the parameters such as the frequency modulation slope, center frequency, and amplitude can be estimated at the same time. From the simulation results, the estimation of parameters for multi-components chirp signals can be actualized based on FrFt, and the mixed signals can be identified successfully.