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An Improved MMSE-RISIC Equalization Algorithm Based on STBC-SC-FDE

Yonglei Qi, Xihong Chen, Zedong Xie, Shuzhi Yuan

Open publisher page 1 citations

Abstract

The minimum mean square error-residual inter-symbol interference cancellation(MMSE-RISIC) equalization algorithm for single carrier frequency domain equalization(SC-FDE) has estimated and removed the residual inter-symbol interference(RISI) of the minimum mean square error(MMSE) equalization, but the noise interference is still present in the decision data, what's more, the estimation deviation of RISI will bring additional disturbances, which reduced the accuracy of equalization. So an improved MMSE-RISIC equalization algorithm is presented and will be extended to the unique word(UW) based system of space-time block coded-single carrier frequency domain equalization(STBC-SC-FDE). This algorithm utilizes the correlation between the estimated noise in UW and the estimated noise in date, the noise in data can be predicted by the estimated noise in UW and will be removed before data decision, the estimation accuracy of RISI will also be improved. Simulation results have confirmed the significant performance gain the improved MMSE-RISIC equalization could achieve compared with the MMSE-RISIC equalization.

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What this paper is about

The minimum mean square error-residual inter-symbol interference cancellation(MMSE-RISIC) equalization algorithm for single carrier frequency domain equalization(SC-FDE) has estimated and removed the residual inter-symbol interference(RISI) of the minimum mean square error(MMSE) equalization, but the noise interference is still present in the decision data, what's more, the estimation deviation of RISI will bring additional disturbances, which reduced the accuracy of equalization. So an improved MMSE-RISIC equalization algorithm is presented and will be extended to the unique word(UW) based system of space-time block coded-single carrier frequency domain equalization(STBC-SC-FDE). This algorithm utilizes the correlation between the estimated noise in UW and the estimated noise in date, the noise in data can be predicted by the estimated noise in UW and will be removed before data decision, the estimation accuracy of RISI will also be improved. Simulation results have confirmed the significant performance gain the improved MMSE-RISIC equalization could achieve compared with the MMSE-RISIC equalization.

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Available abstract

The minimum mean square error-residual inter-symbol interference cancellation(MMSE-RISIC) equalization algorithm for single carrier frequency domain equalization(SC-FDE) has estimated and removed the residual inter-symbol interference(RISI) of the minimum mean square error(MMSE) equalization, but the noise interference is still present in the decision data, what's more, the estimation deviation of RISI will bring additional disturbances, which reduced the accuracy of equalization. So an improved MMSE-RISIC equalization algorithm is presented and will be extended to the unique word(UW) based system of space-time block coded-single carrier frequency domain equalization(STBC-SC-FDE). This algorithm utilizes the correlation between the estimated noise in UW and the estimated noise in date, the noise in data can be predicted by the estimated noise in UW and will be removed before data decision, the estimation accuracy of RISI will also be improved. Simulation results have confirmed the significant performance gain the improved MMSE-RISIC equalization could achieve compared with the MMSE-RISIC equalization.

Key concepts: Equalization (audio), Minimum mean square error, Space–time block code, Algorithm, Interference (communication), Computer science, Noise (video), Residual

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