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格缩减技术(LR)可以用于提升多入多出系统(MIMO)线性和非线性检测的性能.采用该方法后会引起检测信号星座图空间的畸变,导致变化后信号取值的非均匀分布和量化错误的易扩散性,会阻碍检测性能的提高.为了进一步提升检测性能,提出奇偶量化的组合量化误差校正方法.仿真结果显示,加入该方法的格缩减辅助检测的性能得到了明显的提升,而且可以很好的逼近最大似然检测(ML)的性能.和目前已知的其它同类量化误差校正方法相比,在实现相同的检测性能提升时,本文提出的组合量化误差校正方法增加的候选矢量减少了一半,即增加的运算复杂度最低.
Lattice reduction technique (LR) can be used to improve the performance of MIMO linear and non-linear detection, which will lead to distortion of the constellation space of the detection signal, resulting in a non-uniform distribution of signal values after the change And quantify the error of easy diffusibility, which will hinder the improvement of detection performance.In order to further improve the detection performance, a combination of parity quantization quantification error correction method is proposed.The simulation results show that the lattice reduction reduced the detection performance of the method has been significantly improved , And can well approximate the performance of Maximum Likelihood Detection (ML) .Compared with other similar quantization error correction methods known to date, the proposed method of combined quantization error correction increases The candidate vector is reduced by half, which means that the added computational complexity is the lowest.