Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Modifed SIC Algorithm based on Lattice Reduction Aided for MIMO OFDM Detection

Version 1 : Received: 9 November 2022 / Approved: 14 November 2022 / Online: 14 November 2022 (10:47:34 CET)

How to cite: Liu, H.; Feng, F.; Cheng, X.; Wang, L. Modifed SIC Algorithm based on Lattice Reduction Aided for MIMO OFDM Detection. Preprints 2022, 2022110252. https://doi.org/10.20944/preprints202211.0252.v1 Liu, H.; Feng, F.; Cheng, X.; Wang, L. Modifed SIC Algorithm based on Lattice Reduction Aided for MIMO OFDM Detection. Preprints 2022, 2022110252. https://doi.org/10.20944/preprints202211.0252.v1

Abstract

The lattice reduction aided(LRA) algorithm has attracted widely attention of researchers in MIMO systems because of its low complexity to achieve full diversity. However, most lattice reduction auxiliary algorithms do not directly improve system performance. In this paper, a modified lattice reduction successive interference cancellation (SIC) algorithm is proposed for MIMO OFDM system mild changing the complexity of LRA algorithm. At present, the MMSE SQRD algorithm has the problem of regarding too much useful signals as the residual interference which cannot be cancelled by successive interference cancellation. Since the diagonal elements of useful signals are non-zero, the components of the symbols to be detected still present in the interference term, treating all the signals as interference will be resulted in performance loss. To solve this problem, the modified matrix is proposed.by moving this symbol component into the signal term, the proposed algorithm can provide the better performance than MMSE SQRD algorithm. The analysis shows that the LRA-MMSE-SIC algorithm of proposed in this paper significantly improves the system performance with mild increasing the complexity. The simulation results show that the performance of the proposed algorithm is improved by 1dB and 8dB compared with the comparison algorithm when the bit error rate is 10−3.

Keywords

MIMO OFDM; SIC; Log-likelihood ratio(LLR); SQRD

Subject

Computer Science and Mathematics, Data Structures, Algorithms and Complexity

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