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

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

202

Lastpage

205

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on

Print_ISBN

0-7803-7011-2

Type

conf

DOI

10.1109/SSP.2001.955257

Filename

955257