LR algorithm based on MED for multi‐input–multi‐output LDs

Recently, lattice reduction (LR)‐aided linear detectors (LDs) are shown to be very effective in multi‐input–multi‐output systems for low‐complexity and small bit‐error‐rate (BER) performance. However, the LR algorithms in the previous LR‐aided LDs mainly aim to improve the orthogonality of the channel matrix where only channel state information is used. In this study, the authors design a novel LR algorithm to enhance the BER performance of the LR‐aided LDs. Unlike the previous LR algorithms, the proposed LR algorithm aims to decrease the modified Euclidean distance (MED) in the LR‐aided LDs, whereas the MED utilises the received signal as well as the channel matrix. Note that the MED is directly related to the BER performance of the LR‐aided LDs, thus decreasing the MED in the LR‐aided LDs can help to reduce the BER of the LR‐aided LDs. In the proposed LR algorithm, the partial column addition operation is used. The simulation results indicate that their LR‐aided LDs exhibit smaller BER than the previous LR‐aided LDs. Moreover, the computational complexity is also shown in the simulation results.