Adaptive carrier tracking in mobile communication: an innovations-based approach

In this paper we address the problem of mobile communication with highly accelerative emitter/receiver dynamics. The additive white Gaussian noise channel is assumed, and the relative motion is modelled as a vector Gauss-Markov process, from which only the first component is observed. The receiver consists of a bank of stochastic nonlinear filters and a decision algorithm driven by the filter innovation processes. In practice, to cope with any real trajectory, especially with maneuvers, an adaptive strategy has to be adopted. In the solution herein presented, the receiver commutes between two models (double integrated Brownian motions with different variance parameters), switching being determined by the symbol decision metrics, which is based on the filter innovation processes. This adaptive receiver has good carrier tracking capability with the corresponding performance in terms of bit error probability.