一种格缩减辅助MIMO检测的非线性量化算法

针对格缩减辅助MIMO检测中，采用格缩减技术后导致星座畸变，引起变换域信号非线性联合量化复杂度高的问题，提出了一种排序反馈的非线性量化算法。该算法同时考虑了变换星座的边界和各元素之间的相关性，且根据量化误差的大小选择信号元素量化判决的顺序，依次量化判决信号的各个元素。仿真证明，基于该算法的格缩减辅助MIMO检测其性能要优于无排序反馈量化和逐元素独立量化的格缩减辅助MIMO检测，且能很好的逼近最大似然检测的性能，在平坦块衰落信道下，算法复杂度为多项式复杂度。

A Non-linear Quantization Algorithm for Lattice Reduction

Aiming at the high complexity of non-linear combined quantization caused by constellation biased distribution in lattice reduction aided(LRA) MIMO detection, the paper proposed a sorted feedback non-linear quantization scheme, which considered the order of transformed constellation and the correlations between the elements , meanwhile the element is selected to be quantized according to the value of the quantization errors. The simulation results show that the performance of LRA MIMO detection based on this quantization scheme is superior to the performance of LRA MIMO detection based on non-sorted feedback and independent element quantization. Furthermore, the LRA MIMO detection based on the proposed scheme can approach the performance of maximum likelihood detection in polynomial complexity in a flat block fading channel.