PAPR Reduction & Channel Estimation Techniques For MIMO-OFDMA Systems

PAPR Reduction & Channel Estimation Techniques For MIMO-OFDMA Systems PDF Author: D. M. Motiur Rahaman
Publisher:
ISBN: 9783659573811
Category :
Languages : en
Pages : 108

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PAPR Reduction & Channel Estimation Techniques For MIMO-OFDMA Systems

PAPR Reduction & Channel Estimation Techniques For MIMO-OFDMA Systems PDF Author: D. M. Motiur Rahaman
Publisher:
ISBN: 9783659573811
Category :
Languages : en
Pages : 108

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Book Description


Advanced Channel Estimation and Detection Techniques for MIMO and OFDM Systems

Advanced Channel Estimation and Detection Techniques for MIMO and OFDM Systems PDF Author: Li Li
Publisher:
ISBN:
Category :
Languages : en
Pages :

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EFFECTIVE SPARSE CHANNEL ESTIMATION TECHNIQUE FOR MIMO-OFDM SYSTEM

EFFECTIVE SPARSE CHANNEL ESTIMATION TECHNIQUE FOR MIMO-OFDM SYSTEM PDF Author: Dr.Maddala Vijayalakshmi
Publisher: Archers & Elevators Publishing House
ISBN: 8119385969
Category : Antiques & Collectibles
Languages : en
Pages : 58

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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

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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.

Subspace-based Blind Channel Estimation and Tracking for MIMO-OFDM Systems

Subspace-based Blind Channel Estimation and Tracking for MIMO-OFDM Systems PDF Author: Chao-Cheng Tu
Publisher:
ISBN:
Category :
Languages : en
Pages :

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MIMO-OFDM Wireless Communications with MATLAB

MIMO-OFDM Wireless Communications with MATLAB PDF Author: Yong Soo Cho
Publisher: John Wiley & Sons
ISBN: 0470825626
Category : Technology & Engineering
Languages : en
Pages : 458

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Book Description
MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB®, the authors provide a comprehensive introduction to the theory and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB® programs to simulate the various techniques on MIMO-OFDM systems. One of the only books in the area dedicated to explaining simulation aspects Covers implementation to help cement the key concepts Uses materials that have been classroom-tested in numerous universities Provides the analytic solutions and practical examples with downloadable MATLAB® codes Simulation examples based on actual industry and research projects Presentation slides with key equations and figures for instructor use MIMO-OFDM Wireless Communications with MATLAB® is a key text for graduate students in wireless communications. Professionals and technicians in wireless communication fields, graduate students in signal processing, as well as senior undergraduates majoring in wireless communications will find this book a practical introduction to the MIMO-OFDM techniques. Instructor materials and MATLAB® code examples available for download at www.wiley.com/go/chomimo

An Improved Channel Estimation Approach for MIMO-OFDM Systems

An Improved Channel Estimation Approach for MIMO-OFDM Systems PDF Author: Zhen Lu
Publisher:
ISBN:
Category : MIMO systems
Languages : en
Pages : 264

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Channel estimation for Gigabit Multi-user MIMO-OFDM Systems

Channel estimation for Gigabit Multi-user MIMO-OFDM Systems PDF Author: Franklin Mung'au
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Overhead Efficient Algorithms for Acquisition

Overhead Efficient Algorithms for Acquisition PDF Author: Christian Oberli
Publisher:
ISBN:
Category :
Languages : en
Pages : 276

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Book Description


Selective Mapping technique for PAPR reduction in LTE-OFDM Systems

Selective Mapping technique for PAPR reduction in LTE-OFDM Systems PDF Author: Neelam Dewangan
Publisher: GRIN Verlag
ISBN: 3656317364
Category : Technology & Engineering
Languages : en
Pages : 100

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Book Description
Master's Thesis from the year 2012 in the subject Engineering - Communication Technology, grade: none, , course: M.Tech, language: English, abstract: As a promising technique, OFDM has been widely used in emerging broadband communication systems, such as digital audio broadcasting (DAB), high-definition television (HDTV), wireless local area network (IEEE 802.11a and HIPERLAN/2). However, as the OFDM signals are the sum of signals with random amplitude and phase, they are likely to have large PAPR that requires a linear high-power- amplifier (HPA) with an extremely high dynamic range, which is expensive and inefficient. Furthermore, any amplifier nonlinearity causes intermodulation products resulting in unwanted out-of-band power. A number of approaches have been proposed to deal with the PAPR problem, including clipping, clipping-and-filtering (CF), coding, companding transform, active constellation extension (ACE), selected mapping (SLM), partial transmit sequence (PTS), and so on. This thesis proposes an improvement in Selected Mapping technique and Simulation results are compared to existing techniques namely Exponential Companding Transform, Repeated Clipping and Filtering and Adaptive Active Constellation Extension. The improvements which are proposed in classical Selective Mapping technique satisfies the PAPR Reduction criteria with reducing the computational complexity. Also this new scheme has an important advantage of avoiding the extra bits along with the transmitted OFDM signal .This scheme can also be applied to the multiple transmitting antenna cases.