Improvement of the Accuracy and Reduction of the Computational Complexity of the Discrete Polynomial-Phase Transform Method for the Estimation of Chirp Signal Parameters

This paper presents a technique to improve mean-squared error of chirp rate and central frequency estimation in high signal to noise ratios in Discrete Phase Transform and Improved Discrete Phase Transform methods. The estimation of chirp signal parameters is used in many signal processing fields such as intercept radars, SARs, ISARs, and disrupting enemy radars. Increasing the estimation accuracy of chirp signal parameters in these applications is of great importance. In this paper, in order to increase the estimation accuracy of chirp signal parameters in Discrete Phase Transform and Improved Discrete Phase Transform methods, instead of periodogram frequency estimation, the proposed technique is used. Simulation results show that this technique reduces the computational complexity of these methods and increases the estimation accuracy of chirp signal parameters.