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Performance of BER Channel Estimation and Tracking Based on DD-NLMS for Indoor and Outdoor Environment in MIMO OFDM

  • Suzi Seroja Sarnin
  • Siti Maisurah Sulong
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 362)

Abstract

This paper is focusing on the performance of the proposed extended MIMO channel model based on 3D wave scattering with NLMS channel estimator using simulations, in the context of communication system with MIMO antenna operating in outdoor and indoor environments. Different training rates and different Doppler frequencies are used to track time-variations of the channel. The adaptive algorithm is namely Least Means Square (LMS) algorithm and normalized LMS (NLMS). The performance is evaluated in system BER, for different Doppler frequencies (correspond to different mobility speeds). Simulation results have demonstrated that time-domain adaptive channel estimation and tracking in MIMO OFDM systems based on the DD-NLMS is very effective in slowly to moderate time-varying fading channels. This paper provides analysis, evaluation and computer simulations in MATLAB.

Keywords

Little Means Square Doppler Frequency Recursive Little Square Multiple Input Multiple Output OFDM Symbol 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was supported in part by the Faculty of Electrical Engineering University Teknologi MARA, Shah Alam Selangor.

References

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Electrical EngineeringUiTM Shah AlamSelangorMalaysia

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