Low-Complexity LMMSE Detection Based on Kalman Filter for MIMO Systems 


Vol. 47,  No. 5, pp. 752-755, May  2022
10.7840/kics.2022.47.5.752


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  Abstract

In this letter, a low-complexity LMMSE detection scheme based on Kalman filter is proposed for MIMO systems. In the proposed scheme, the single observation equation with a receive signal vector in the conventional Kalman filter based detection is decomposed as multiple equations with a scalar. In this way, the matrix inverse operation is omitted, and the proposed scheme can achieve the identical LMMSE estimation result to the conventional high-complexity Kalman filter based detection. It is also shown that the proposed scheme can yield a low computation complexity compared with the conventional LMMSE detection for MIMO systems as the number of antennas increases.

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  Cite this article

[IEEE Style]

S. Park, "Low-Complexity LMMSE Detection Based on Kalman Filter for MIMO Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 5, pp. 752-755, 2022. DOI: 10.7840/kics.2022.47.5.752.

[ACM Style]

Sangjoon Park. 2022. Low-Complexity LMMSE Detection Based on Kalman Filter for MIMO Systems. The Journal of Korean Institute of Communications and Information Sciences, 47, 5, (2022), 752-755. DOI: 10.7840/kics.2022.47.5.752.

[KICS Style]

Sangjoon Park, "Low-Complexity LMMSE Detection Based on Kalman Filter for MIMO Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 5, pp. 752-755, 5. 2022. (https://doi.org/10.7840/kics.2022.47.5.752)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880