Recursive Bayesian phase estimation in ranging and mobile communication

Abstract

Mobile radio communication systems are generally designed without taking into account the relative emitter/receiver dynamics. In this paper we model this dynamics as a vector Markov process and formulate ranging and digital demodulation/detection as aspects of recursive absolute (not modulo 2/spl pi/) phase estimation. Symbol-by-symbol detection and phase tracking within symbol interval are performed by a bank of 'matched' stochastic nonlinear estimators and a maximum a posteriori (MAP) decision algorithm. The approach applies to precision landing and communication with low Earth orbit (LEO) satellites or between rapid maneuvering platforms.