Semi-Blind Carrier Frequency Offset Estimation and Channel Equalization

Semi-Blind Carrier Frequency Offset Estimation and Channel Equalization
Author: Yufei Jiang
Publisher: Springer
Total Pages: 96
Release: 2015-12-01
Genre: Computers
ISBN: 3319249843

Download Semi-Blind Carrier Frequency Offset Estimation and Channel Equalization Book in PDF, Epub and Kindle

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.

Intercarrier Interference Reduction and Channel Estimation in OFDM Systems

Intercarrier Interference Reduction and Channel Estimation in OFDM Systems
Author: Yihai Zhang
Publisher:
Total Pages:
Release: 2011
Genre:
ISBN:

Download Intercarrier Interference Reduction and Channel Estimation in OFDM Systems Book in PDF, Epub and Kindle

With the increasing demand for more wireless multimedia applications, it is desired to design a wireless system with higher data rate. Furthermore, the frequency spectrum has becomea limited and valuable resource, making it necessary to utilize the available spectrum efficiently and coexist with other wireless systems. Orthogonal frequency division multiplexing (OFDM)modulation is widely used in communication systems to meet the demand for ever increasing data rates. The major advantage of OFDM over single-carrier transmission is its ability to deal with severe channel conditions without complex equalization. However, OFDM systems suffer from a high peak to average power ratio, and they are sensitive to carrier frequency offset and Doppler spread. This dissertation first focuses on the development of intercarrier interference (ICI) reduction and signal detection algorithms for OFDM systems over time-varying channels. Several ICI reduction algorithms are proposed for OFDM systems over doubly-selective channels. The OFDM ICI reduction problem over time-varying channels is formulated as a combinatorial optimization problem based on the maximum likelihood (ML)criterion. First, two relaxation methods are utilized to convert the ICI reduction problem into convex quadratic programming (QP) problems. Next, a low complexity ICI reduction algorithm applicable to $M$-QAM signal constellations for OFDM systems is proposed. This formulates the ICI reduction problem as a QP problem with non-convex constraints. A successive method is then utilized to deduce a sequence ofreduced-size QP problems. For the proposed algorithms, the QPproblems are solved by limiting the search in the 2-dimensional subspace spanned by its steepest-descent and Newton directions to reduce the computational complexity. Furthermore, a low-bit descent search (LBDS) is employed to improve the system performance. Performance results are given to demonstrate that the proposed ICI reduction algorithms provide excellent performance with reasonable computational complexity. A low complexity joint semiblind detection algorithm based on the channel correlation and noisevariance is proposed which does not require channel state information. The detection problem is relaxed to a continuous non-convex quadratic programming problem. Then an iterative method is utilized to deduce a sequence of reduced-size quadratic programming problems. A LBDS method is also employed to improve the solution of the derived QP problems. Results are given which demonstrate that the proposed algorithm provides similar performance with lower computational complexity compared to that of a sphere decoder. A major challenge to OFDM systems is how to obtain accurate channel state information for coherent detection of the transmitted signals. Thus several channel estimation algorithms are proposed for OFDM systems over time-invariant channels. A channel estimation method is developed to utilize the noncircularity of the input signals to obtain an estimate of the channel coefficients ...

Design of Channel Estimation and Equalization for OFDM Systems

Design of Channel Estimation and Equalization for OFDM Systems
Author: Ali Salah Mahdi
Publisher: LAP Lambert Academic Publishing
Total Pages: 84
Release: 2015-01-20
Genre:
ISBN: 9783659671616

Download Design of Channel Estimation and Equalization for OFDM Systems Book in PDF, Epub and Kindle

Orthogonal Frequency Division Multiplexing (OFDM) system is one of the multicarrier techniques which is robust against Inter-symbol-Interference, multipath fading and very easy to apply in transmitters by using inverse fast Fourier transform IFFT and at the receivers by using fast Fourier transform FFT. In a communication system, channel estimation is very important issue for the data detection. In coherent detection, one of the popular techniques is to use pilot tones as a reference signal in OFDM symbols. In the comb-type pilot tones insertion, pilot tones are inserted into each OFDM symbols, but inserting a large number of pilot tones will lead to channel capacity reduction or bandwidth expansion [1-2]. In this work, to overcome this transmission loss, a modified least square (ModLS) algorithm for fast time varying wireless channel at comb-type pilot arrangement in QAM signals for OFDM system is proposed. The simulation results obtained from the proposed algorithm showed a good performance in noisy wireless channels. In addition, it has been compared with least square (LS) algorithm in different signal to noise ratios and different channel tabs.

Carrier Frequency Offset Estimation for Multicarrier Communications

Carrier Frequency Offset Estimation for Multicarrier Communications
Author: Cheng Li
Publisher:
Total Pages:
Release: 2017-01-27
Genre:
ISBN: 9781374709478

Download Carrier Frequency Offset Estimation for Multicarrier Communications Book in PDF, Epub and Kindle

This dissertation, "Carrier Frequency Offset Estimation for Multicarrier Communications" by Cheng, Li, 李鋮, 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. Abstract: Abstract of thesis entitled Carrier Frequency Offset Estimation for Multicarrier Communications Submitted by Li Cheng For the degree of Master of Philosophy at the University of Hong Kong in Feb., 2004 Multicarrier (MC) transmission is a promising technology in broadband wireless access involving high-throughput data transmission. MC communications are advantageous over single-carrier transmission in dealing with inter-symbol interference (ISI) due to the channel delay spread. However, MC communications also have certain drawbacks, including the vulnerability to carrier frequency offset (CFO) arising from the difference of oscillator frequencies between the transmitter and the receiver or from the Doppler shift. The performance of MC systems degrades severely even if the CFO is a small fraction of the subcarrier spacing. Therefore, correction of CFO is very important for MC communications. This thesis considers two variants of MC technologies, OFDM and MC-CDMA, and investigates CFO estimation for both systems. For OFDM systems, a semi-blind CFO estimation algorithm utilizing the embedded pilot tones, which are primarily used for channel estimation, is proposed for slowly-varying multipath channels. The algorithm is bandwidth efficient because it requires no training symbols. It is also demonstrated that the proposed algorithm can be regarded as the general form of the virtual-carrier-based CFO estimation algorithm previously proposed in the literature. For the purpose of practical implementation, a reduced-complexity estimator is also developed. It offers a tradeoff between estimation accuracy and implementation complexity. It is shown by simulation results that the proposed algorithm outperforms the cyclic-prefix-based algorithm in terms of the estimated CFO mean-square error performance. For MC- CDMA systems, a blind CFO estimator is proposed for the downlink transmission, where all users' signals are synchronously transmitted. The estimation scheme consists of two stages: feed-forward acquisition and error-feedback data-directed tracking. The acquisition stage is implemented utilizing the orthogonality among spreading codes and it is capable of bringing the CFO as large as the signal bandwidth to a small value. The residual CFO is refined by the tracking stage, which estimates the CFO and users' data simultaneously based on the maximum likelihood criterion. A reduced-complexity estimator based on the zero-padding FFT technique is also developed to reduce the implementation complexity. The performance of the proposed algorithm is investigated by extensive computer simulations. DOI: 10.5353/th_b2972533 Subjects: Signal processing - Digital techniques - Mathematics Multiplexing Wireless communication systems