Maximum-Likelihood-Based Blind Dispersion Estimation for Coherent Optical Communication

A Fast Gaussian Maximum-likelihood Method for Blind Multichannel Estimation

We propose a blind Maximum-Likelihood method for FIR multichannel estimation, denoted GML. The GML criterion is derived assuming the input symbols as Gaussian random variables. The performance of GML (computed based on the true symbol distribution) is compared through numerical evaluations to the optimally weighted covariance matching method: both methods are equivalent in a certain asymptotic ...

Maximum Likelihood Blind Channel Estimation for Space-Time Coding Systems

Sophisticated signal processing techniques have to be developed for capacity enhancement of future wireless communication systems. In recent years, space-time coding is proposed to provide significant capacity gains over the traditional communication systems in fading wireless channels. Space-time codes are obtained by combining channel coding, modulation, transmit diversity, and optional recei...

Blind Maximum Likelihood Sequence Detection Over Fast Fading Communication Channels

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...

Algorithms of Chromatic Dispersion Equalization in Coherent Optical Communication Systems

In order to respond to the technologic society expectations and satisfying the nowadays search of services who required a high spectral efficiency, emerge an interest about coherent optical systems, that allows multi-level modulation formats and digital signal processing. So, the study of performance of equalization algorithms at digital domain is essential in order to get the best solutions. T...