PARAMETER ESTIMATION OF CHIRP SIGNALS IN PRESENCE OF STATIONARY NOISE
Debasis Kundu, Swagata Nandi · 2005
The problem of parameter estimation of the chirp signals in presence of station- ary noise has been addressed. We consider the least squares estimators and it is observed that the least squares estimators are strongly consistent. The asymptotic distributions of the least squares estimators are obtained. The multiple chirp signal model is also considered and we obtain the asymptotic properties of the least squares estimators of the unknown param- eters. We perform some small sample simulations to observe how the proposed estimators work for small sample sizes.