摘要
MIMO技术是LTE的关键技术,MIMO信号检测算法的选用需要在复杂度和检测性能之间取得合理的折中。将格基理论应用于MIMO检测中,能够大幅降低由于天线数增多所带来的检测复杂度过高问题,典型的格约减算法有LLL算法和Seysen算法。以上述格基约减算法为基础,引进排序串行干扰抵消和广度优先球译码K-best算法的思想,提出了一种新型的基于格基约减的MIMO检测算法———KLR_OSIC。与原有基于格基约减的检测算法相比,该算法能够在较低的计算复杂度下显著提高MIMO的检测性能。通过仿真可看出,新算法比原基于格基约减的算法性能更佳,且更接近ML算法。
Multiple Input Multiple output （MIMO） is one of the essential technologies in LTE, and the use of MIMO signal detection requires a reasonable compromise between complexity and detection performance. High detec- tion complexity caused by increasing number of antennas is greatly decreased by applying lattice theory in MIMO de- tection. There are two typical lattice theories： LLL algorithm and Seysen algorithm. Based on these lattice reduction theories, we introduce OSIC and K-best, and thus propose KLR_OSIC, a new MIMO detection algorithm based on lattice reduction. Compared with the existing detection algorithm based on lattice reduction, our algorithm improves the performance of MIMO detection with a lower calculation complexity. As shown in our simulation, the new algo- rithm achieves a better performance than the existing algorithms based on lattice reduction, and is closer to ML algo- rithm.
出处
《电子科技》
2014年第5期153-155,160,共4页
Electronic Science and Technology
基金
国家电网公司科技项目基金资助(52272313039Q
52772313039L)
