The Experts below are selected from a list of 300288 Experts worldwide ranked by ideXlab platform
Jinkang Zhu - One of the best experts on this subject based on the ideXlab platform.
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A novel SNR Estimation Algorithm for OFDM
2005 IEEE 61st Vehicular Technology Conference, 1Co-Authors: Guo Wei, Jinkang ZhuAbstract:In this paper, we extend the traditional SNR Estimation Algorithms defined in complex AGWN channel to time variant linear channel and present a new SNR Estimation Algorithm for OFDM system. We compare our Algorithm with two moment-based Algorithms. Simulation results show that the new Algorithm performs better in large Doppler frequency environments and is insensitive to the statistical characteristics of the channel.
Gerard J. Milburn - One of the best experts on this subject based on the ideXlab platform.
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Generation of eigenstates using the phase-Estimation Algorithm
Physical Review A, 2001Co-Authors: B. C. Travaglione, Gerard J. MilburnAbstract:The phase Estimation Algorithm is so named because it allows an Estimation of the eigenvalues associated with an operator. However, it has been proposed that the Algorithm can also be used to generate eigenstates. Here we extend this proposal for small quantum systems, identifying the conditions under which the phase-Estimation Algorithm can successfully generate eigenstates. We then propose an implementation scheme based on an ion trap quantum computer. This scheme allows us to illustrate two simple examples, one in which the Algorithm effectively generates eigenstates, and one in which it does not.
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Generation of eigenstates using the phase-Estimation Algorithm
Physical Review A, 2001Co-Authors: B. C. Travaglione, Gerard J. MilburnAbstract:The phase Estimation Algorithm is so named because it allows the Estimation of the eigenvalues associated with an operator. However it has been proposed that the Algorithm can also be used to generate eigenstates. Here we extend this proposal for small quantum systems, identifying the conditions under which the phase Estimation Algorithm can successfully generate eigenstates. We then propose an implementation scheme based on an ion trap quantum computer. This scheme allows us to illustrate two simple examples, one in which the Algorithm effectively generates eigenstates, and one in which it does not.Comment: 5 pages, 3 Figures, RevTeX4 Introduction expanded, typos correcte
Tat Hui - One of the best experts on this subject based on the ideXlab platform.
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VTC Spring - A Novel Blind Channel Estimation Algorithm for a MIMO System
VTC Spring 2008 - IEEE Vehicular Technology Conference, 2008Co-Authors: Xia Liu, Marek E. Bialkowski, Tat HuiAbstract:In this paper, a novel blind channel Estimation Algorithm for a multiple input multiple output (MIMO) system is described. This Algorithm is easier to implement than the previously reported blind Estimation Algorithms because the channel state information (CSI) is recovered without performing complex mathematical operations such as singular value decomposition (SVD) or eigenvalue decomposition (EVD). The ambiguity associated with the proposed blind Estimation is reduced to the phase ambiguity. The proposed channel Estimation Algorithm is accompanied by new block coding scheme. Using this coding scheme, a block encoder is only required at the transmitter. The proposed scheme is spectral efficient, as it offers the full coding rate when the numbers of transmitting and receiving antennas are equal. The validity of the proposed channel Estimation Algorithm and coding scheme is verified via computer simulations.
Guo Wei - One of the best experts on this subject based on the ideXlab platform.
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A novel SNR Estimation Algorithm for OFDM
2005 IEEE 61st Vehicular Technology Conference, 1Co-Authors: Guo Wei, Jinkang ZhuAbstract:In this paper, we extend the traditional SNR Estimation Algorithms defined in complex AGWN channel to time variant linear channel and present a new SNR Estimation Algorithm for OFDM system. We compare our Algorithm with two moment-based Algorithms. Simulation results show that the new Algorithm performs better in large Doppler frequency environments and is insensitive to the statistical characteristics of the channel.
Tian Yong-yi - One of the best experts on this subject based on the ideXlab platform.
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Semi-blind channel Estimation Algorithm based on expectation maximization in OFDM systems
Journal of Zhengzhou University of Light Industry, 2008Co-Authors: Tian Yong-yiAbstract:Aiming at the deficiencies of high complexity,low precision and slow convergence in the orthogonal frequency division multiplexing(OFDM) conventional blind channel Estimation method,a semi-blind channel Estimation Algorithm based on expectation maximization(EM) was researched.The simulation results show that the EM based semi-blind channel Estimation Algorithm can overcome these deficiencies of the conventional blind channel Estimation method and yield a 2 dB SNR improvement compared to the conventional channel Estimation Algorithms based on pilot assisted.
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Expectation Maximization Based on Semi-Blind Channel Estimation Algorithm in OFDM Systems
Journal of Beijing Electronic Science and Technology Institute, 2007Co-Authors: Tian Yong-yiAbstract:Aiming at the deficiencies of high complexity, low precision and slow convergence, in the orthogonal frequency division multiplexing (OFDM) conventional blind channel Estimation method, an expectation maximization based semi-blind channel Estimation Algorithm was researched. The simulation results show that the EM based semi-blind channel Estimation Algorithm can overcome these deficiencies of the conventional blind channel Estimation method and yield a 2dB SNR improvement compared to the conventional channel Estimation Algorithms based on pilot assisted.
