Abstract
Channel estimation technique is to predict the freq uency response of the radio channel using pilot signal. Channel estimation technique is important p art of LTE receiver design. Such technique is used to recover the transmitted signal correctly and to know how the channel conditions are changed over frequency and time. Each channel estimator has a sp ecified complexity computed according to its mathematical model. Complexity Reduction of any channel estimator is very important to achieve high performance. This paper studied in details the perf ormance enhancement of LMMSE channel estimation technique in the downlink of LTE system . The proposed algorithm is based on Roza Zheng channel model and the matrix transpose rather than matrix inverse. This dramatically reduces the complexity of LMMSE. In adition, the complexity of the proposed algorithm is invariant with the number of multipath components in case of fast fadi ng channels. Moreover, the received signal quality has been improved as compared to the LS. The processing time of the proposed algorithm is reduced by using new criteria of auto correlation. The perf ormance of the proposed algorithm has been evaluated using the mean squared error as the perfo rmance metric. Simulation results showed that the MSE is reduced by 89.5% for LS and by 38.7% for LMMSE. Finally, the bit error rate has been enhanced using the proposed algorithm.
Highlights
MIMO is associated with Orthogonal FrequencyDivision Multiplexing (OFDM) technique
The three techniques are performed in the frequency domain as it is well known that time domain channel estimation leads to the problem of propagating errors due to the back and forth Fast Fourier Transform (FFT) transformation that may lead to residual errors
The mean squared error is the performance metric of interest that is used to evaluate the performance of the proposed estimation algorithm and to compare its performance with other known channel estimation techniques
Summary
MIMO is associated with Orthogonal FrequencyDivision Multiplexing (OFDM) technique. OFDM is a Wireless multimedia services require a high speed modulation technique which transforms frequency data access in order to satisfy their exponential growing. selective channel into a set of parallel flat fading. The cyclic prefix can be propagation usually causes selective frequency channels, shorter than propagation delay of the channel. In this to combat the effect of frequency selective fading, case, both ICI and ISI occured this makes the task of Corresponding Author: Hany Mohamed El-Ansary, Department of Communications Engineering, Faculty of Engineering, Arab Academy for Science, Technology Maritime Transport University, Cairo, Egypt. Channel estimation techniques for MIMO-OFDM systems like LS and LMMSE (Jiang et al, 2010; Deng and Wang, 2011). This paper is organized as following: section 2 present the system and channel model, section 3 present the proposed channel estimation algorithm, section 4 present the simulation results, section 5 present the conclusion
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