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A novel Detection Algorithm Based on Lattice Reduction Aided for MIMO-OFDM System.

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Titel: A novel Detection Algorithm Based on Lattice Reduction Aided for MIMO-OFDM System.
Autoren: Liu, Haitao1,2 (AUTHOR) lhtdlnu@dlnu.edu.cn, Fu, Shiqi1 (AUTHOR), Li, Wenqing3 (AUTHOR), Cheng, Xuchao1 (AUTHOR), Wang, Liguo1 (AUTHOR), Feng, Fan1 (AUTHOR)
Quelle: Ain Shams Engineering Journal. Oct2025, Vol. 16 Issue 10, pN.PAG-N.PAG. 1p.
Schlagwörter: Detection algorithms, Interference suppression, Empirical research, Orthogonal frequency division multiplexing, Dimensional reduction algorithms, Mean square algorithms, Bit error rate, Wireless channels
Abstract: The Lattice Reduction Aided (LRA) algorithm, which does not expand the dimensionality of the channel matrix, has garnered significant attention. However, existing detection algorithms often mistakenly identify interference as valid signals, thereby degrading system performance. To address this challenge, a novel Minimum Mean Square Error (MMSE) sorted QR decomposition (MMSE SQRD) algorithm, which integrates LRA, is proposed and referred to as MMSE SQRD LRA. The innovation is achieved through two primary strategies. First, the channel matrix is adjusted using the LRA principle to enhance its orthogonality. Second, a correction matrix is designed to integrate residual interference as useful signal components. Consequently, the adverse effects of interference are significantly mitigated. Simulation results demonstrate that, compared to existing algorithms, the proposed MMSE SQRD LRA algorithm achieves performance improvements of approximately 1 dB to 6.1 dB at a Bit Error Rate (BER) of 10-3. [ABSTRACT FROM AUTHOR]
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Abstract:The Lattice Reduction Aided (LRA) algorithm, which does not expand the dimensionality of the channel matrix, has garnered significant attention. However, existing detection algorithms often mistakenly identify interference as valid signals, thereby degrading system performance. To address this challenge, a novel Minimum Mean Square Error (MMSE) sorted QR decomposition (MMSE SQRD) algorithm, which integrates LRA, is proposed and referred to as MMSE SQRD LRA. The innovation is achieved through two primary strategies. First, the channel matrix is adjusted using the LRA principle to enhance its orthogonality. Second, a correction matrix is designed to integrate residual interference as useful signal components. Consequently, the adverse effects of interference are significantly mitigated. Simulation results demonstrate that, compared to existing algorithms, the proposed MMSE SQRD LRA algorithm achieves performance improvements of approximately 1 dB to 6.1 dB at a Bit Error Rate (BER) of 10-3. [ABSTRACT FROM AUTHOR]
ISSN:20904479
DOI:10.1016/j.asej.2025.103608