计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2014年
4期
149-153
,共5页
长期演进%多输入多输出%最大似然检测%格点减少%V-BLAST检测
長期縯進%多輸入多輸齣%最大似然檢測%格點減少%V-BLAST檢測
장기연진%다수입다수출%최대사연검측%격점감소%V-BLAST검측
LTE system%MIMO%ML%V-BLAST detection
LTE系统采用MIMO作为核心技术,需要良好的信号检测算法在接收端将发射信号尽可能无误地检测出来。为了提高复杂环境中信号检测的性能,给出基于信道矩阵分解的格点减少预处理算法,可在一定程度上降低线性处理过程对噪声的放大。现有基于格点减少技术的检测算法,虽然可以有效地提高 MIMO 系统的误比特率性能,但其检测性能与最优的ML算法相比仍然存在差距。笔者在ML遍历搜索的思想和V-BLAST检测算法基础上结合格点减少技术,提出一种基于格点减少辅助分层检测算法。仿真结果表明,在下行LTE系统中采用改进的格点减少辅助分层检测算法能够显著提高M IMO 系统的误码性能,检测性能近似最大似然算法。
LTE繫統採用MIMO作為覈心技術,需要良好的信號檢測算法在接收耑將髮射信號儘可能無誤地檢測齣來。為瞭提高複雜環境中信號檢測的性能,給齣基于信道矩陣分解的格點減少預處理算法,可在一定程度上降低線性處理過程對譟聲的放大。現有基于格點減少技術的檢測算法,雖然可以有效地提高 MIMO 繫統的誤比特率性能,但其檢測性能與最優的ML算法相比仍然存在差距。筆者在ML遍歷搜索的思想和V-BLAST檢測算法基礎上結閤格點減少技術,提齣一種基于格點減少輔助分層檢測算法。倣真結果錶明,在下行LTE繫統中採用改進的格點減少輔助分層檢測算法能夠顯著提高M IMO 繫統的誤碼性能,檢測性能近似最大似然算法。
LTE계통채용MIMO작위핵심기술,수요량호적신호검측산법재접수단장발사신호진가능무오지검측출래。위료제고복잡배경중신호검측적성능,급출기우신도구진분해적격점감소예처리산법,가재일정정도상강저선성처리과정대조성적방대。현유기우격점감소기술적검측산법,수연가이유효지제고 MIMO 계통적오비특솔성능,단기검측성능여최우적ML산법상비잉연존재차거。필자재ML편력수색적사상화V-BLAST검측산법기출상결합격점감소기술,제출일충기우격점감소보조분층검측산법。방진결과표명,재하행LTE계통중채용개진적격점감소보조분층검측산법능구현저제고M IMO 계통적오마성능,검측성능근사최대사연산법。
LTE system needs a good algorithm of signal detection in the receiver to detect the emissive signal as correct as possible because of its core technology MIMO. In order to improve the performance of signal detection in complex environment and reduce the linear amplification of noise process, this letter adopted lattice-reduction pretreatment algorithm, which based on the decomposition of the channel matrix. However, these detection algorithms have large SNR gap compared with optimal ML algorithm. In this paper, we based on the lattice reduction technologies and ideas of ML and V-BLAST detection algorithm, proposed a lattice reduction aided layered detection algorithm.The simulation results show that, improved algorithm can significantly improve the ber performance in the downlink LTE system. The detection performance approximate ML algorithm.