Search for dissertations about: "maximum likelihood ML detection"
Showing result 1 - 5 of 13 swedish dissertations containing the words maximum likelihood ML detection.
-
1. Maximum likelihood detection for the linear MIMO channel
Abstract : this thesis the problem of maximum likelihood (ML) detection for the linear multiple-input multiple-output (MIMO) channel is considered. The thesis investigates two algorithms previously proposed in the literature for implementing the ML detector, namely semide nite relaxation and sphere decoding. READ MORE
-
2. On the Design of Communication Systems for Strong Oscillator Phase Noise - Detection Methods and Constellation Optimization
Abstract : The problem of designing wireless communication systems to operate in the presence of oscillator phase noise is a classical problem in communication theory. In recent times, there has been a renewed interest in thisproblem for a multitude of reasons. READ MORE
-
3. On the Impact of Phase Noise in Communication Systems –- Performance Analysis and Algorithms
Abstract : The mobile industry is preparing to scale up the network capacity by a factor of 1000x in order to cope with the staggering growth in mobile traffic. As a consequence, there is a tremendous pressure on the network infrastructure, where more cost-effective, flexible, high speed connectivity solutions are being sought for. READ MORE
-
4. Analysis of Relay Channels and Improved Iterative Decoders for Turbo-Coded Decode-and-Forward Relay Channels
Abstract : Three-node relay channels which consist of a source, a relay and a destinationare considered in this thesis. In the first part, an uncoded relay channelis studied. READ MORE
-
5. On Parameter Estimation Employing Sinewave Fit andPhase Noise Compensation in OFDM Systems
Abstract : In today’s modern society, we are surrounded by a multitude of digital devices.The number of available digital devices is set to grow even more. As the trendcontinues, product life-cycle is a major issue in mass production of these devices. READ MORE