Iterative parameter estimation of multiple chirp signals

The authors propose an algorithm for estimating the parameters of multiple superimposed chirp signals in additive white noise. The algorithm is based on a novel iterative approach that significantly reduces the error propagation effect inherent in many existing techniques. Moreover, it allows the estimation over a wider range of phase parameter values while still maintaining a better estimation accuracy