Parameter estimation of linear frequency modulated signals with missing observations

The effect of missing observations, caused by random sensor errors or periodic blocking of the signal, on the estimation of signal parameters is to reduce estimator performance. For the class of polynomial phase signals, existing estimators may suffer a severe degradation in performance depending on the location of the missing observations. Reasons for the drop in performance are determined and several estimators are proposed which behave well even with a large proportion of missing observations.