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We address the problem of channel estimation in a large multiple-input multiple-output (MIMO) system using pilot symbol aided algorithm in Rayleigh fading environment. Conventional minimum mean square error and minimum variance unbiased based channel estimators require the inversion of covariance matrices, which has computational complexity of the order of N^6, where N is the number of antennas at...
In this paper, we compare the performance and complexity of three existing blind carrier-frequency-offset (CFO) estimators when they are applied to estimate the residual Doppler shift for zero-padded OFDM transmissions over underwater acoustic channels: the null subcarrier based method [1], the O-M algorithm [2], and the Y-G algorithm [3]. Performances of these three methods are evaluated by extensive...
Cooperative communication offers a way to obtain spatial diversity in a wireless network without increasing hardware demands. The different cooperation protocols proposed in the literature are often studied under the assumption that all channel state information is available at the destination. In a practical scenario, channel estimates need to be derived from the broadcasted signals. In this paper,...
A novel adaptive Turbo equalization algorithm based on the serious inter-symbol interference (ISI) in wireless channel is proposed. The channel characteristics are estimated through combining iterative recursive least square (RLS) with least mean square(LMS) and channel's changes are traced; and the soft interference cancellation (SIC) algorithm for Turbo equalization and the iterative calculations...
In wireless environments, video quality can be severely degraded due to channel errors. Improving error robustness towards the impact of packet loss in error-prone network is considered as a critical concern in wireless video networking research. Data partitioning (DP) is an efficient error-resilient tool in video codec that is capable of reducing the effect of transmission errors by reorganizing...
In order to increase the performance of joint channel estimation and decoding through belief propagation on factor graphs, we approximate the distribution of channel estimate in the factor graph as a mixture of Gaussian distributions. The result is a continuous downward and upward message propagation in the factor graph instead of discrete probability distributions. Using continuous downward messages,...
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