Multicomponent Subspace Chirp Parameter Estimation Using Discrete Fractional Fourier Analysis

The Discrete Fractional Fourier Transform is a useful tool for multicomponent chirp parameter estimation, however much of the current work ignores the presense of noise. In recent work, a projection-subspace approach to DFrFTbased multicomponent chirp parameter estimation was proposed, to exploit the robustness of subspace decomposition methods. This paper refines the prior projection-subspace work to overcome limitations caused by the projection preprocessing, and presents a quantitative analysis of its performance as compared to the Cramér-Rao lower bound.