![]() The simulation results shows that the presented precoding scheme performs better in terms of BER with minimum channel estimation error as compared to other state-of-the-art schemes. The overall bit error rate (BER) is derived and simulated with dependency on periodic sequence and channel estimation error. A linear transformation is applied on each block before it enters the OFDM system. The system reliability can be improved, if precoder coefficients are chosen in such a way that they have no dependency or minimum correlation with noise coefficients. A novel approach of blind channel estimation for OFDM systems is proposed. Blind Adaptive MIMO Receivers for CDMA Systems with Space-Time. In contrast to the statistical methods, Chotikakamthorn and Suzuki applied a. Iterative Detection, Decoding and Channel Parameter Estimation for Orthogonally Modulated. Moreover, they only work with continuous transmis-sion and fail for burst transmission. INDIA 2012 COM Content ACRONYMS 1 Physical Regions 14 Mountain Ranges 14 Natural Vegetation 15 Agriculture 15 Himalayan Range 15 Indian Languages 22 Schedule Languages 22 Quick Facts 23 2. Statistical blind channel estimation approaches have a slow convergence rate, making them unsuitable for mobile radio channels. The proposed linear frequency-domain precoder is applied to each pair of blocks before they enter the OFDM system. In this paper, periodic precoder-based blind channel estimation is used to tackle problems like complexity, channel order overestimation and bandwidth expansion. the charm of blind channel estimation is lost. Abstract Considering that channel estimation is crucial for coherent detection, a blind channel estimation method based on linear precoding for orthogonal frequency-division multiplexing (OFDM) systems is proposed in this paper. These estimation techniques are computationally expensive at almost all signal-to-noise ratio values. Blind multichannel estimation is classically done considering one of two constraints on the channel coefficients: (i) a quadratic constraint (i.e. Abstract The paper provides a performance analysis of a deterministic method proposed previously for blind identification of linear time-invariant channels, in the presence of additive noise, for. To further enhance system performance, blind channel estimation techniques are employed whenever data symbols are transmitted in blocks. There are various blind channel estimation techniques have been developed 6,7,8. This method has better spectral efficiency than other two methods 4, 5. In modern wireless communication systems, multiple antennas at transmitter and receiver are employed along with orthogonal frequency-division multiplexing to achieve very high data rate with significant system reliability. RNA model is again used to formulate improved linear and semi-blind channel estimators for massive MIMO systems in combination with the Fast Data Projection. Channel estimation based on blind concept uses correlative coding, second-order stationary statistics and some other properties of the transmitted signal.
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