Kalman-based MIMO receivers using Gaussian sum approximations

Dawoon Lee, Sooyong Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a new multiple input multiple output receiver based on the Kalman filtering algorithm. The Kalman filtering algorithm is based on the Gaussian assumption of the input signal. However, the assumption is not appropriate for the digital communication system which has non-Gaussian input signal. The proposed receiver overcomes the problem by using multiple Kalman filters and its output is obtained using the weighted sum of the outputs of the Kalman filters by the Gaussian sum approximation method to make the data signal approximately Gaussian. Simulation results show that the bit error rate (BER) performance of the proposed receiver is better than the previous Kalman-based receivers and its BER performance is close to the maximum likelihood (ML) receiver with lower computational complexity than the ML receiver.

Original languageEnglish
Title of host publicationIEEE 75th Vehicular Technology Conference, VTC Spring 2012 - Proceedings
DOIs
Publication statusPublished - 2012 Aug 20
EventIEEE 75th Vehicular Technology Conference, VTC Spring 2012 - Yokohama, Japan
Duration: 2012 May 62012 Jun 9

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

OtherIEEE 75th Vehicular Technology Conference, VTC Spring 2012
CountryJapan
CityYokohama
Period12/5/612/6/9

Fingerprint

MIMO systems
Multiple-input multiple-output (MIMO)
Kalman filters
Bit error rate
Maximum likelihood
Receiver
Digital communication systems
Approximation
Computational complexity
Kalman Filtering
Kalman Filter
Maximum Likelihood
Error Rate
Output
Weighted Sums
Approximation Methods
Low Complexity
Communication Systems
Computational Complexity
Simulation

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Lee, D., & Choi, S. (2012). Kalman-based MIMO receivers using Gaussian sum approximations. In IEEE 75th Vehicular Technology Conference, VTC Spring 2012 - Proceedings [6240192] (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VETECS.2012.6240192
Lee, Dawoon ; Choi, Sooyong. / Kalman-based MIMO receivers using Gaussian sum approximations. IEEE 75th Vehicular Technology Conference, VTC Spring 2012 - Proceedings. 2012. (IEEE Vehicular Technology Conference).
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Lee, D & Choi, S 2012, Kalman-based MIMO receivers using Gaussian sum approximations. in IEEE 75th Vehicular Technology Conference, VTC Spring 2012 - Proceedings., 6240192, IEEE Vehicular Technology Conference, IEEE 75th Vehicular Technology Conference, VTC Spring 2012, Yokohama, Japan, 12/5/6. https://doi.org/10.1109/VETECS.2012.6240192

Kalman-based MIMO receivers using Gaussian sum approximations. / Lee, Dawoon; Choi, Sooyong.

IEEE 75th Vehicular Technology Conference, VTC Spring 2012 - Proceedings. 2012. 6240192 (IEEE Vehicular Technology Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lee D, Choi S. Kalman-based MIMO receivers using Gaussian sum approximations. In IEEE 75th Vehicular Technology Conference, VTC Spring 2012 - Proceedings. 2012. 6240192. (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VETECS.2012.6240192