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Effective Sparse Channel Estimation Technique For Mimo Ofdm System
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Book Synopsis EFFECTIVE SPARSE CHANNEL ESTIMATION TECHNIQUE FOR MIMO-OFDM SYSTEM by : Dr.Maddala Vijayalakshmi
Download or read book EFFECTIVE SPARSE CHANNEL ESTIMATION TECHNIQUE FOR MIMO-OFDM SYSTEM written by Dr.Maddala Vijayalakshmi and published by Archers & Elevators Publishing House. This book was released on with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Signal Processing, Channel Estimation and Link Adaptation in MIMO-OFDM Systems by : Jianjun Ran
Download or read book Signal Processing, Channel Estimation and Link Adaptation in MIMO-OFDM Systems written by Jianjun Ran and published by Cuvillier Verlag. This book was released on 2008 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Signal-perturbation-free Semi-blind Channel Estimation for MIMO-OFDM Systems by : Feng Wan
Download or read book Signal-perturbation-free Semi-blind Channel Estimation for MIMO-OFDM Systems written by Feng Wan and published by . This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) has been considered as a strong candidate for the beyond 3G (B3G) wireless communication systems, due to its high data-rate wireless transmission performance. It is well known that the advantages promised by MIMO-OFDM systems rely on the precise knowledge of the channel state information (CSI). In real wireless environments, however, the channel condition is unknown. Therefore, channel estimation is of crucial importance in MIMO-OFDM systems. Semi-blind channel estimation as a combination of the training-based or pilot-assisted method and the pure blind approach is considered to be a feasible solution for practical wireless systems due to its better estimation accuracy as well as spectral efficiency. In this thesis, we address the semi-blind channel estimation issue of MIMO-OFDM systems with an objective to develop very efficient channel estimation approaches. In the first part of the dissertation, several nulling-based semi-blind approaches are presented for the estimation of time-domain MIMO-OFDM channels. By incorporating a blind constraint that is derived from MIMO linear prediction (LP) into a training-based least-square method, a semi-blind solution for the time-domain channel estimation is first obtained. It is revealed through a perturbation analysis that the semi-blind solution is not subject to signal perturbation and therefore is superior to pure blind estimation methods. The LP-based semi-blind method is then extended for the channel estimation of MIMO-OFDM systems with pulse-shaping. By exploiting the pulse-shaping filter in the transmitter and the matched filter in the receiver, a very efficient semi-blind approach is developed for the estimation of sampling duration based multipath channels. A frequency-domain correlation matrix estimation algorithm is also presented to facilitate the computation of time-domain second-order statistics required in the LP-based method. The nulling-based semi-blind estimation issue of sparse MIMO-OFDM channels is also addressed. By disclosing and using a relationship between the positions of the most significant taps (MST) of the sparse channel and the lags of nonzero correlation matrices of the received signal, a novel estimation approach consisting of the MST detection and the sparse channel estimation, both in a semi-blind fashion, is developed. An intensive simulation study of all the proposed nulling-based methods with comparison to some existing techniques is conducted, showing a significant superiority of the new methodologies. The second part of the dissertation is dedicated to the development of two signal-perturbation-free (SPF) semi-blind channel estimation algorithms based on a novel transmit scheme that bears partial information of the second-order statistics of the transmitted signal to receiver. It is proved that the new transmit scheme can completely cancel the signal perturbation error in the noise-free case, thereby improving largely the estimation accuracy of correlation matrix for channel estimation in noisy conditions. It is also shown that the overhead caused by the transmission of the 8PF data is negligible as compared to that of regular pilot signals. By using the proposed transmit scheme, a whitening rotation (WR)-based algorithm is first developed for frequency-domain MIMO-OFDM channel estimation. It is shown through both theoretical analysis and simulation study that the new WR-based algorithm significantly outperforms the conventional WR-based method and the nulling-based semi-blind method. By using MIMO linear prediction, the new WR-based algorithm utilizing the 8PF transmit scheme is then extended for time-domain MIMO-OFDM channel estimation. Computer simulations show that the proposed signal-perturbation-free LP-based semi-blind solution performs much better than the LP semi-blind method without using the proposed transmit scheme, the LS method as well as the nulling-based semi-blind method in terms of the MSE of the channel estimate.
Book Synopsis Efficient Sparse Channel Estimation for High-Mobility OFDM Systems by :
Download or read book Efficient Sparse Channel Estimation for High-Mobility OFDM Systems written by and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis MIMO-OFDM Wireless Communications with MATLAB by : Yong Soo Cho
Download or read book MIMO-OFDM Wireless Communications with MATLAB written by Yong Soo Cho and published by John Wiley & Sons. This book was released on 2010-08-20 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Overhead Efficient Algorithms for Acquisition by : Christian Oberli
Download or read book Overhead Efficient Algorithms for Acquisition written by Christian Oberli and published by . This book was released on 2004 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis STUDY OF CHANNEL ESTIMATION FO by : Wen Zhou
Download or read book STUDY OF CHANNEL ESTIMATION FO written by Wen Zhou and published by Open Dissertation Press. This book was released on 2017-01-26 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "A Study of Channel Estimation for OFDM Systems and System Capacity for MIMO-OFDM Systems" by Wen, Zhou, 周雯, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. DOI: 10.5353/th_b4555585 Subjects: Orthogonal frequency division multiplexing - Mathematical models MIMO systems - Mathematical models
Book Synopsis Advanced Channel Estimation and Detection Techniques for MIMO and OFDM Systems by : Li Li
Download or read book Advanced Channel Estimation and Detection Techniques for MIMO and OFDM Systems written by Li Li and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An EM-based Channel Estimation Algorithm for Space Time Block Coded MIMO OFDM Systems by : Haideh M. Karkhanechi
Download or read book An EM-based Channel Estimation Algorithm for Space Time Block Coded MIMO OFDM Systems written by Haideh M. Karkhanechi and published by . This book was released on 2007 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Improved Channel Estimation Approach for MIMO-OFDM Systems by : Zhen Lu
Download or read book An Improved Channel Estimation Approach for MIMO-OFDM Systems written by Zhen Lu and published by . This book was released on 2010 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Iterative Channel Estimation Techniques For Multiple İnput Multiple Output Orthogonal Frequency Division Multiplexing Systems by : İlhan Baştürk
Download or read book Iterative Channel Estimation Techniques For Multiple İnput Multiple Output Orthogonal Frequency Division Multiplexing Systems written by İlhan Baştürk and published by . This book was released on 2007 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Orthogonal frequency division multiplexing (OFDM) is well-known for its efficient high speed transmission and robustness to frequency-selective fading channels. On the other hand, multiple-input multiple-output (MIMO) antenna systems have the ability to increase capacity and reliability of a wireless communication system compared to single-input single-output (SISO) systems. Hence, the integration of the two technologies has the potential to meet the ever growing demands of future communication systems. In these systems, channel estimation is very crucial to demodulate the data coherently. For a good channel estimation, spectral efficiency and lower computational complexity are two important points to be considered. In this thesis, we explore different channel estimation techniques in order to improve estimation performance by increasing the bandwidth efficiency and reducing the computational complexity for both SISO-OFDM and MIMO-OFDM systems. We first investigate pilot and Expectation-Maximization (EM)-based channel estimation techniques and compare their performances. Next, we explore different pilot arrangements by reducing the number of pilot symbols in one OFDM frame to improve bandwidth efficiency. We obtain the bit error rate and the channel estimation performance for these pilot arrangements. Then, in order to decrase the computational complexity, we propose an iterative channel estimation technique, which establishes a link between the decision block and channel estimation block using virtual subcarriers. We compare this proposed technique with EM-based channel estimation in terms of performance and complexity. These channel estimation techniques are also applied to STBC-OFDM and V-BLAST structured MIMO-OFDM systems. Finally, we investigate a joint EM-based channel estimation and signal detection technique for V-BLAST OFDM system.
Book Synopsis Channel Estimation and Data Detection for Mobile MIMO OFDM Systems by : Jie Gao
Download or read book Channel Estimation and Data Detection for Mobile MIMO OFDM Systems written by Jie Gao and published by . This book was released on 2005 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing spectral efficient, high-speed wireless links that offer high quality- of-service and range capability has been a critical research and engineering challenge. In this thesis, we mainly address the complexity and performance issues of channel estimation and data detection in multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems over time-varying channels. We derive the probability density function (pdf) expressions of the condition number (i.e., the maximum-to-minimum-singular-value ratio, MMSVR) of the channel state information matrix of MIMO OFDM systems. It is shown that this ratio is directly related to the noise enhancement in open-loop systems and provides a significant insight on the system capacity. A decision-directed (DD) maximum a posteriori probability (MAP) channel estimation scheme of MIMO systems is derived. Error performance of a zero- forcing receiver with the DD MAP and perfect channel estimates is provided and compared. This scheme has a low complexity and can be applied to time-varying Rayleigh fading channels with an arbitrary spaced-time correlation function. We propose an iterative channel estimation and data detection scheme for MIMO OFDM systems in the presence of inter-carrier-interference (ICI) due to the nature of time-varying channels. An ICI-based minimum-mean-square error (MMSE) detection scheme is derived. An expectation-maximization (EM) based least square (LS) channel estimator is proposed to minimize the mean-square error (MSE) of the channel estimates and to reduce the complexity of the implementation. With the estimate of the channel and initially detected symbols, ICI is estimated and removed from the received signal. Thus more accurate estimation of the channel and data detection can be obtained in the next iteration. An EM-based MAP channel estimator is derived by exploiting the frequency/time correlation of the pilot and data sub-carriers. Performance comparison is made between the proposed schemes and the ideal case - time-invariant channels and perfect channel estimation. We optimize the data transmission by exploiting the long term correlation characteristics. The transmitted data is successively detected without an error floor in spatially correlated channels. The algorithms proposed in this thesis allow low-complexity implementation of channel estimation and data detection for MIMO OFDM systems over time-varying fading channels, while providing good error performance.
Book Synopsis A Study of Channel Estimation for OFDM Systems and System Capacity for MIMO-OFDM Systems by : Wen Zhou (electrical engineer.)
Download or read book A Study of Channel Estimation for OFDM Systems and System Capacity for MIMO-OFDM Systems written by Wen Zhou (electrical engineer.) and published by . This book was released on 2010 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Sparse Signal Processing for Massive MIMO Communications by : Zhen Gao
Download or read book Sparse Signal Processing for Massive MIMO Communications written by Zhen Gao and published by Springer Nature. This book was released on with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Adaptive MIMO OFDM Channel Estimation by : Eswar Kumar Madhira
Download or read book Adaptive MIMO OFDM Channel Estimation written by Eswar Kumar Madhira and published by LAP Lambert Academic Publishing. This book was released on 2015-08-13 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book's main focus is present applications of MIMO OFDM and major aspects like channel Estimation.This book also provides information related to basic channel estimation schemes and also how they can be adapted to MIMO OFDM systems.And finally adaptive scheme was described which utilizes the resources much effective way.In this book i gave matlab implementation of the proposed schemes also and simmulation results areprovided.
Book Synopsis Channel Estimation and Prediction for MIMO OFDM Systems by :
Download or read book Channel Estimation and Prediction for MIMO OFDM Systems written by and published by . This book was released on 2011 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Sparse Channel Estimation for Massive MIMO Using Quasi-orthogonal Pilots by : Ivan Tinjaca
Download or read book Sparse Channel Estimation for Massive MIMO Using Quasi-orthogonal Pilots written by Ivan Tinjaca and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Massive MIMO has been considered recently as the emerging technology to be used in fifth generation wireless communication. The use of a large number of antennas provides many more degrees of freedom when compared to actual fourth generation standards that use basic MIMO. 4G systems are rapidly approaching to their limit of performance and soon will be inadequate to supply the increasing wireless demand. Massive MIMO brings the possibility of establishing communications with more speed, capacity and reliability. However, as in basic MIMO, the knowledge of the channel affects directly its performance. With a higher number of antennas, not only the channel estimation techniques present an increase in the complexity but also, traditional training methods face a limitation in the quantity of pilots to be used. The pilot contamination effect has been intensively studied recently and several methods have been proposed to alleviate the interference caused by the pilots reuse.In this thesis, the estimation process is done using non-orthogonal sequences with low correlation and it is compared to the traditional estimation methods. The sparse characteristics of the channel are also studied when using 2D antenna arrays leading to application of Matching Pursuit algorithms with low complexity. Motivated by the results, a method that uses the non-orthogonal sequences and that incorporates 2D space angular transformation of the channel to exploit its sparse characteristics is proposed. Finally, it is observed that a considerable reduction in the channel estimation error is obtained when using non-orthogonal sequences altogether with Matching Pursuit algorithms. " --
