Kalman Filter and Smoother Based Iterative Equalizer for Massive MIMO Systems with Intersymbol Interference 


Vol. 43,  No. 1, pp. 24-26, Jan.  2018
10.7840/kics.2018.43.1.24


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  Abstract

This letter proposes a low-complexity Kalman filter and smoother based iterative equalizer for massive MIMO systems with intersymbol interference. The proposed equalizer performs one Kalman filter and one Kalman smoother operations for each transmit symbol per iteration, which leads a significantly lower computational complexity compared to the conventional Kalman filter and smoother based iterative equalizer. Simulation results confirm that the proposed equalizer can achieve a BER performance close to that of the conventional equalizer with significantly lower computational complexity.

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  Cite this article

[IEEE Style]

S. Park, "Kalman Filter and Smoother Based Iterative Equalizer for Massive MIMO Systems with Intersymbol Interference," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 1, pp. 24-26, 2018. DOI: 10.7840/kics.2018.43.1.24.

[ACM Style]

Sangjoon Park. 2018. Kalman Filter and Smoother Based Iterative Equalizer for Massive MIMO Systems with Intersymbol Interference. The Journal of Korean Institute of Communications and Information Sciences, 43, 1, (2018), 24-26. DOI: 10.7840/kics.2018.43.1.24.

[KICS Style]

Sangjoon Park, "Kalman Filter and Smoother Based Iterative Equalizer for Massive MIMO Systems with Intersymbol Interference," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 1, pp. 24-26, 1. 2018. (https://doi.org/10.7840/kics.2018.43.1.24)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880