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Channel Estimation for Multiple-input Multiple-output (MIMO) Systems with Adaptive Frequency Domain Equalization (FDE).

Channel Estimation for Multiple-input Multiple-output (MIMO) Systems with Adaptive Frequency Domain Equalization (FDE). PDF Author: Mohd Fareq Abd Malek
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Channel Estimation for Multiple-input Multiple-output (MIMO) Systems with Adaptive Frequency Domain Equalization (FDE).

Channel Estimation for Multiple-input Multiple-output (MIMO) Systems with Adaptive Frequency Domain Equalization (FDE). PDF Author: Mohd Fareq Abd Malek
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Adaptive Channel Estimation for Multiple-Input Multiple-Output Frequency Domain Equalization

Adaptive Channel Estimation for Multiple-Input Multiple-Output Frequency Domain Equalization PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 6

Book Description
In this paper we investigate adaptive channel estimation for frequency domain equalization (FDE) in a single carrier (SC) multiple-input multiple-output (MIMO) system. Two types of channel estimation methods are proposed, assuming uncorrelated and correlated frequency bins. The FDE coefficients are computed using the channel estimates. It is shown that our proposed structures significantly outperform the adaptive FDE without channel estimation at high SNR. In particular, the proposed LMS-SCE FDE approaches the performance of FDE with perfect channel state information (CSI), and has a fast convergence speed and reasonably low complexity.

Channel Estimation in TDD and FDD-Based Massive MIMO Systems

Channel Estimation in TDD and FDD-Based Massive MIMO Systems PDF Author: Javad Mirzaei
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description
There are three parts to this thesis. In the first part, we study the channel estimation problem in frequency-selective multi-user (MU) multi-cell massive multiple-input multiple-output (MIMO) systems, where, a time-domain semi-blind channel estimation technique is proposed. Compared to frequency-domain, the time-domain channel estimation requires fewer parameters be estimated. Importantly, the time-domain estimation has enough samples for an accurate channel estimate. Given this many samples in the time-domain, the proposed channel estimation technique obtains a better estimate of the channel. Here, there is no assumption on orthogonality of users' channels, knowledge of large-scale fading coefficients, and the orthogonality between the training symbols of the users in all cells. The second part of the thesis studies the channel estimation problem in correlated massive MIMO systems with a reduced number of radio-frequency (RF) chains. Leveraging the knowledge of channel correlation matrices, we propose to estimate the channel entries in its eigen-domain. Due to the limited number of RF chains, channel estimation is typically performed in multiple time slots. Using the minimum mean squared error (MMSE) criterion, the optimal precoder and combiner in each time slot are aligned to transmitter and receiver eigen-directions, respectively. Meanwhile, the optimal power allocation for each training time slots is obtained via a waterfilling-type expression. In the final part, we study the downlink channel estimation for frequency-division-duplex (FDD) massive MIMO systems. Acquiring downlink channel state information in these systems is challenging due to the large training and feedback overhead. Motivated by the partial reciprocity of uplink and downlink channels, we first estimate the frequency-independent channel parameters, i.e., the path gains, delays, angles-of-arrivals (AoAs) and angles-of-departures (AoDs), via uplink training, since these parameters are common in both uplink and downlink. Then, the frequency-specific channel parameters are estimated via downlink training using a very short training signal. To efficiently estimate the channel parameters in the uplink, the underlying distribution of the channel parameters is incorporated as a prior into our estimation algorithm. This distribution is captured using deep generative models (DGMs). The proposed channel estimation technique significantly outperforms the conventional channel estimation techniques in practical ranges of signal-to-noise ratio (SNR).

MIMO Processing for 4G and Beyond

MIMO Processing for 4G and Beyond PDF Author: Mario Marques da Silva
Publisher: CRC Press
ISBN: 1466598085
Category : Computers
Languages : en
Pages : 534

Book Description
MIMO Processing for 4G and Beyond: Fundamentals and Evolution offers a cutting-edge look at multiple-input multiple-output (MIMO) signal processing, namely its detection (in both time and frequency domains) and precoding. It examines its integration with OFDM, UWB, and CDMA, along with the impact of these combinations at the system level. Massive M

Signal Processing, Channel Estimation and Link Adaptation in MIMO-OFDM Systems

Signal Processing, Channel Estimation and Link Adaptation in MIMO-OFDM Systems PDF Author: Jianjun Ran
Publisher: Cuvillier Verlag
ISBN: 3867276498
Category :
Languages : en
Pages : 161

Book Description


PERFORMANCE ANALYSIS OF MIMO-OFDM SYSTEM USING CODING AND EQUALIZATION

PERFORMANCE ANALYSIS OF MIMO-OFDM SYSTEM USING CODING AND EQUALIZATION PDF Author: G.KRISHNA REDDY
Publisher: Archers & Elevators Publishing House
ISBN: 8119385861
Category : Antiques & Collectibles
Languages : en
Pages : 86

Book Description


Intelligent Multi-Modal Data Processing

Intelligent Multi-Modal Data Processing PDF Author: Soham Sarkar
Publisher: John Wiley & Sons
ISBN: 1119571421
Category : Technology & Engineering
Languages : en
Pages : 288

Book Description
A comprehensive review of the most recent applications of intelligent multi-modal data processing Intelligent Multi-Modal Data Processing contains a review of the most recent applications of data processing. The Editors and contributors – noted experts on the topic – offer a review of the new and challenging areas of multimedia data processing as well as state-of-the-art algorithms to solve the problems in an intelligent manner. The text provides a clear understanding of the real-life implementation of different statistical theories and explains how to implement various statistical theories. Intelligent Multi-Modal Data Processing is an authoritative guide for developing innovative research ideas for interdisciplinary research practices. Designed as a practical resource, the book contains tables to compare statistical analysis results of a novel technique to that of the state-of-the-art techniques and illustrations in the form of algorithms to establish a pre-processing and/or post-processing technique for model building. The book also contains images that show the efficiency of the algorithm on standard data set. This important book: Includes an in-depth analysis of the state-of-the-art applications of signal and data processing Contains contributions from noted experts in the field Offers information on hybrid differential evolution for optimal multilevel image thresholding Presents a fuzzy decision based multi-objective evolutionary method for video summarisation Written for students of technology and management, computer scientists and professionals in information technology, Intelligent Multi-Modal Data Processing brings together in one volume the range of multi-modal data processing.

Multiple-Input Multiple-Output Channel Models

Multiple-Input Multiple-Output Channel Models PDF Author: Nelson Costa
Publisher: John Wiley & Sons
ISBN: 9780470590669
Category : Technology & Engineering
Languages : en
Pages : 244

Book Description
A complete discussion of MIMO communications, from theory to real-world applications The emerging wireless technology Wideband Multiple-Input, Multiple-Output (MIMO) holds the promise of greater bandwidth efficiency and wireless link reliability. This technology is just now being implemented into hardware and working its way into wireless standards such as the ubiquitous 802.11g, as well as third- and fourth-generation cellular standards. Multiple-Input Multiple-Output Channel Models uniquely brings together the theoretical and practical aspects of MIMO communications, revealing how these systems use their multipath diversity to increase channel capacity. It gives the reader a clear understanding of the underlying propagation mechanisms in the wideband MIMO channel, which is fundamental to the development of communication algorithms, signaling strategies, and transceiver design for MIMO systems. MIMO channel models are important tools in understanding the potential gains of a MIMO system. This book discusses two types of wideband MIMO models in detail: correlative channel models—specifically the Kronecker, Weichselberger, and structured models—and cluster models, including Saleh-Valenzuela, European Cooperation in the field of Scientific and Technical Research (COST) 273, and Random Cluster models. From simple to complex, the reader will understand the models' mechanisms and the reasons behind the parameters. Next, channel sounding is explained in detail, presenting the theory behind a few channel sounding techniques used to sound narrowband and wideband channels. The technique of digital matched filtering is then examined and, using real-life data, is shown to provide very accurate estimates of channel gains. The book concludes with a performance analysis of the structured and Kronecker models. Multiple-Input Multiple-Output Channel Models is the first book to apply tensor calculus to the problem of wideband MIMO channel modeling. Each chapter features a list of important references, including core literary references, Matlab implementations of key models, and the location of databases that can be used to help in the development of new models or communication algorithms. Engineers who are working in the development of telecommunications systems will find this resource invaluable, as will researchers and students at the graduate or post-graduate level.

Millimeter Wave Communication Systems

Millimeter Wave Communication Systems PDF Author: Kao-Cheng Huang
Publisher: John Wiley & Sons
ISBN: 1118102754
Category : Technology & Engineering
Languages : en
Pages : 304

Book Description
The aim of this book is to present the modern design and analysis principles of millimeter-wave communication system for wireless devices and to give postgraduates and system professionals the design insights and challenges when integrating millimeter wave personal communication system. Millimeter wave communication system are going to play key roles in modern gigabit wireless communication area as millimeter-wave industrial standards from IEEE, European Computer Manufacturing Association (ECMA) and Wireless High Definition (Wireless HD) Group, are on their way to the market. The book will review up-to-date research results and utilize numerous design and analysis for the whole system covering from Millimeter wave frontend to digital signal processing in order to address major topics in a high speed wireless system. This book emphasizes the importance and the requirements of high-gain antennas, low power transceiver, adaptive equalizer/modulation, channeling coding and adaptive multi-user detection for gigabit wireless communications. In addition, the book will include the updated research literature and patents in the topics of transceivers, antennas, MIMO, channel capacity, coding, equalizer, Modem and multi-user detection. Finally the application of these antennas will be discussed in light of different forthcoming wireless standards at V-band and E-band.

Frequency Domain Processing for Multiple Input Multiple Output Channels [microform]

Frequency Domain Processing for Multiple Input Multiple Output Channels [microform] PDF Author: Reza Kalbasi
Publisher: Library and Archives Canada = Bibliothèque et Archives Canada
ISBN: 9780494083352
Category : Adaptive antennas
Languages : en
Pages : 426

Book Description