  Estimating the coefficients of a noisy polynomial phase signal is important
in fields including radar, biology and radio communications. One approach
attempts to perform polynomial regression on the phase of the signal. This is
complicated by the fact that the phase is wrapped modulo 2\pi and must be
unwrapped before regression can be performed. In this paper we consider an
estimator that performs phase unwrapping in a least squares manner. We describe
the asymptotic properties of this estimator, showing that it is strongly
consistent and asymptotically normally distributed.
