Maximum likelihood global positioning system receiver

Receiver Biases in Global Positioning Satellite Ranging

Adaptive Maximum-Likelihood Receiver for Carrier-Modulated Data-Transmission Systems

A new look is taken at maximum-likelihood sequence estimation in the presence of intersymbol interference. A uniform receiver structure for linear carrier-modulated data-transmission systems is derived which for decision making uses a modified version of the Viterbi algorithm. The algorithm operates directly on .the output signal of a complex matched filter and, in contrast to the original algo...

An Adaptive Maximum Likelihood Receiver for Rayleigh Fading Channels

The purpose of this thesis is to develop a practical receiver for Rayleigh fadin?; channels. which does not exhibit the error floor found for conventional receivers in this channel. .-\ model of a general time and frequency-selective channel is developed, and the opt.imal receiver structure for a time-selective channel is derived for general signalling. The theoretical performance of a standard...

Maximum Likelihood Parameter Estimation in a GNSS Receiver

The potential of the SAGE (Space Alternating Generalized Expectation Maximization) algorithm for navigation systems in order to distinguish the line-of-sight signal (LOSS) is to be considered. The SAGE algorithm is a low-complexity generalization of the EM (Expectation-Maximization) algorithm, which iteratively approximates the maximum likelihood estimator (MLE) and has been successfully applie...

Maximum Likelihood Nonlinear System Estimation

This paper is concerned with the parameter estimation of a relatively general class of nonlinear dynamic systems. A Maximum Likelihood (ML) framework is employed in the interests of statistical efficiency, and it is illustrated how an Expectation Maximisation (EM) algorithm may be used to compute these ML estimates. An essential ingredient is the employment of so-called “particle smoothing” met...