Improved Maximum Likelihood S-FSK Receiver for PLC Modem in AMR

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...

S aled Conjugate Gradients for Maximum Likelihood :

Maximum Likelihood SNR Estimation for Non-Coherent FSK-based Cooperative Networks in Rayleigh fading channels

Signal-to-noise ratio (SNR) is one of the most important and critical performance metrics for analysing the performance of wireless communication systems. SNR estimates are used at the receiver side for the purpose of symbol decoding, power control algorithms, turbo decoding, and assigning adaptive modulation and coding (AMC) schemes. SNR estimation also finds application in many areas of cellu...

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...