Title :
Recursive Bayesian phase estimation in ranging and mobile communication
Author :
Leitão, José M N ; Sousa, Fernando M G
Author_Institution :
Instituto de Telecomunicacoes, Instituto Superior Tecnico, Lisbon, Portugal
fDate :
6/23/1905 12:00:00 AM
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 2π) 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
Keywords :
Bayes methods; Markov processes; aircraft landing guidance; demodulation; maximum likelihood estimation; mobile satellite communication; nonlinear estimation; phase estimation; radio tracking; recursive estimation; signal detection; LEO satellites; digital demodulation/detection; low Earth orbit satellites; matched stochastic nonlinear estimators; maximum a posteriori decision algorithm; mobile radio communication systems; phase tracking; precision landing; ranging; rapid maneuvering platforms; recursive Bayesian phase estimation; recursive absolute phase estimation; relative emitter/receiver dynamics; symbol-by-symbol detection; vector Markov process; Bayesian methods; Demodulation; Land mobile radio; Low earth orbit satellites; Markov processes; Phase detection; Phase estimation; Receivers; Satellite broadcasting; Stochastic processes;
Conference_Titel :
Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
Print_ISBN :
0-7803-7011-2
DOI :
10.1109/SSP.2001.955257
