The authors propose an algorithm for estimating the parameters of mult
iple 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. Moreov
er, it allows the estimation over a wider range of phase parameter val
ues while still maintaining a better estimation accuracy.