A cyclostationarity based iterative algorithm for multi-component chirp signal parameter estimation

This paper is concerned with the problem of estimating the phase parameters of multi-component chirp signals embedded in additive noise. An iterative algorithm based on cyclocstationarity is proposed. The main characteristics of the proposed algorithm include reduction in error propagation effect, increase in estimation accuracy and operation over a wider range of phase parameter values. Simulation results demonstrate that the new iterative algorithm has better performance as compared with the conventional cyclostationary estimation method.