计算机技术与发展
計算機技術與髮展
계산궤기술여발전
COMPUTER TECHNOLOGY AND DEVELOPMENT
2015年
5期
138-142
,共5页
多输入多输出-正交频分复用%时域信道估计%最小二乘%线性最小均方误差
多輸入多輸齣-正交頻分複用%時域信道估計%最小二乘%線性最小均方誤差
다수입다수출-정교빈분복용%시역신도고계%최소이승%선성최소균방오차
multi-input multi-output orthogonal frequency division multiplexing%time domain channel estimation%least square%linear minimum mean square error
针对MIMO-OFDM系统,在MIMO信道的基础上,讨论了基于线性最小均方误差( Linear Minimum Mean Square Er-ror,LMMSE)的时域信道估计算法,并与经典的最小二乘( Least Square,LS)估计算法进行了对比,分析了该算法的估计精度和对噪声的抑制作用。仿真中采用经典的抽头延迟线模型,建立了收发天线间的复信道增益矩阵。理论分析和仿真实验表明,相比LS信道估计算法,LMMSE算法提高了信道估计的精度,降低了信道估计的误码率和均方误差,使接收端的检测性能更接近理想信道估计的性能。
針對MIMO-OFDM繫統,在MIMO信道的基礎上,討論瞭基于線性最小均方誤差( Linear Minimum Mean Square Er-ror,LMMSE)的時域信道估計算法,併與經典的最小二乘( Least Square,LS)估計算法進行瞭對比,分析瞭該算法的估計精度和對譟聲的抑製作用。倣真中採用經典的抽頭延遲線模型,建立瞭收髮天線間的複信道增益矩陣。理論分析和倣真實驗錶明,相比LS信道估計算法,LMMSE算法提高瞭信道估計的精度,降低瞭信道估計的誤碼率和均方誤差,使接收耑的檢測性能更接近理想信道估計的性能。
침대MIMO-OFDM계통,재MIMO신도적기출상,토론료기우선성최소균방오차( Linear Minimum Mean Square Er-ror,LMMSE)적시역신도고계산법,병여경전적최소이승( Least Square,LS)고계산법진행료대비,분석료해산법적고계정도화대조성적억제작용。방진중채용경전적추두연지선모형,건립료수발천선간적복신도증익구진。이론분석화방진실험표명,상비LS신도고계산법,LMMSE산법제고료신도고계적정도,강저료신도고계적오마솔화균방오차,사접수단적검측성능경접근이상신도고계적성능。
The channel estimation algorithm based on Linear Minimum Mean Square Error ( LMMSE) in the time domain is discussed in MIMO-OFDM system based on MIMO channel,compared with the classical Least Square ( LS) estimation algorithm,analyze the estima-tion accuracy of the algorithm and noise inhibition. Using classical tapped delay line model,establish a complex channel gain matrix be-tween the transmitting and receiving antennas. The theoretical analysis and simulation experiments show that LMMSE channel estimation algorithm improves the accuracy of the detection and reduces the error rate and mean square error of channel estimation compared with LS channel estimation algorithm,which makes performance of the receiving end is closer to the ideal channel estimation performance.
