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Languages : en
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Author: Thavalapill Smith
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659748875
Category :
Languages : en
Pages : 56
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Recently the integration of the Multiple-Input Multiple-Output (MIMO) architectures and Orthogonal Frequency Division Multiplexing (OFDM) technique has been widely considered as a potential strategy to enhance data rate, capacity and quality of broadband wireless OFDM systems.However, the inherent drawback of OFDM-based systems is their susceptibility to synchronization errors such as the Carrier Frequency Offset (CFO) and the primary challenge in MIMO based systems is the increasing complexity in channel estimation as the number of antennas increases.Various joint CFO and channel estimation for OFDM as well as MIMO-OFDM systems have been proposed till date. In this report, we consider an iterative Expectation-Maximization (EM) algorithm for the joint estimation of CFO and Channel Impulse Response(CIR) for MIMO-OFDM system in frequency selective fading channel.Simulation results show that EM algorithm gives marginally better performance over pilot-assisted Maximum Likelihood (ML)- based algorithm, proposed recently, in terms of MSE of both channel and frequency offset estimator
Author: Fabien Delestre
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Languages : en
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This thesis is concerned with channel estimation and data detection of MIMO-OFDM communication systems using Space-Time Block Coding (STBC) and Space-Frequency Block Coding (SFBC) under frequency selective channels. A new iterative joint channel estimation and signal detection technique for both STBC-OFDM and SFBC-OFDM systems is proposed. The proposed algorithm is based on a processive sequence of events for space time and space frequency coding schemes where pilot subcarriers are used for channel estimation in the first time instant, and then in the second time instant, the estimated channel is used to decode the data symbols in the adjacent data subcarriers. Once data symbols are recovered, the system recursively performs a new channel estimation using the decoded data symbols as pilots. The iterative process is repeated until all MIMO-OFDM symbols are recovered. In addition, the proposed channel estimation technique is based on the maximum likelihood (ML) approach which offers linearity and simplicity of implementation. Due to the orthogonality of STBC and SFBC, high computation efficiency is achieved since the method does not require any matrix inversion for estimation and detection at the receiver. Another major novel contribution of the thesis is the proposal of a new group decoding method that reduces the processing time significantly via the use of sub-carrier grouping for transmitted data recovery. The OFDM symbols are divided into groups to which a set of pilot subcarriers are assigned and used to initiate the channel estimation process. Designated data symbols contained within each group of the OFDM symbols are decoded simultaneously in order to improve the decoding duration. Finally, a new mixed STBC and SFBC channel estimation and data detection technique with a joint iterative scheme and a group decoding method is proposed. In this technique, STBC and SFBC are used for pilot and data subcarriers alternatively, forming the different combinations of STBC/SFBC and SFBC/STBC. All channel estimation and data detection methods for different MIMO-OFDM systems proposed in the thesis have been simulated extensively in many different scenarios and their performances have been verified fully.
Author: Yufei Jiang
Publisher: Springer
ISBN: 3319249843
Category : Computers
Languages : en
Pages : 96
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This SpringerBrief investigates the performance of semi-blind independent component analysis (ICA) based equalization and carrier frequency offset estimation approaches (CFO) for a number of orthogonal frequency division multiplexing (OFDM) based wireless communication systems. It provides a comprehensive overview of the challenges of channel equalization and frequency synchronization for different wireless systems. The authors present the wireless communication channel and system models. Key existing CFO estimation methods are reviewed, along with a number of the training based and non-training based (blind) channel estimation methods. This is followed by a study of ICA and its applications to OFDM-based wireless communication systems. Later chapters provide a detailed description of recent research on semi-blind CFO estimation and ICA based equalization approaches for various wireless communication systems including multiple-input multiple-output (MIMO) OFDM and coordinated multipoint (CoMP) systems. Semi-blind CFO estimation and equalization structures provide a spectrum-efficient and high-performance solution for high speed wireless communications. This book is suitable for postgraduate students, researchers or professionals in the area of wireless communications.
Author: Jianjun Ran
Publisher: Cuvillier Verlag
ISBN: 3867276498
Category :
Languages : en
Pages : 161
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Author: Stephan Sand
Publisher: Logos Verlag Berlin GmbH
ISBN: 3832523855
Category :
Languages : en
Pages : 272
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Category :
Languages : en
Pages : 80
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Author: Chao-Cheng Tu
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Category :
Languages : en
Pages :
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Author: Xiangnian Zeng
Publisher:
ISBN:
Category :
Languages : en
Pages : 250
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