Parameter estimation for a combination of a polynomial phase signal (PPS) and a frequency modulated (FM) signal is addressed. A novel approach is proposed that allows one to decouple estimation of the FM parameters from that of the PPS parameters, exploiting the properties of the multi-lag high-order ambiguity function (ml-HAF). Performance analysis is carried out and Cramer-Rao bounds are compared with simulation results
Published in:
Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on
Date of Conference: 21-23 Jul 1997