计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
22期
217-222
,共6页
朱冰莲%钱明达%李士涛%杨吉祥
硃冰蓮%錢明達%李士濤%楊吉祥
주빙련%전명체%리사도%양길상
正交频分复用%双选择衰落信道%信道估计%基扩展模型%频谱泄露
正交頻分複用%雙選擇衰落信道%信道估計%基擴展模型%頻譜洩露
정교빈분복용%쌍선택쇠락신도%신도고계%기확전모형%빈보설로
Orthogonal Frequency Division Multiplexing(OFDM)%Doubly-Selective Fading Channels%channel estima-tion%Basis Expansion Model(BEM)%spectrum leakage
针对双选择衰落信道下OFDM系统中基于复指数基扩展模型(CE-BEM)的信道估计算法存在的不足,提出了一种基于加窗的基扩展模型信道估计算法。该算法通过时域加窗和去窗处理来减少CE-BEM存在的频谱泄露,并抑制多普勒频移对估计性能的影响;利用设计的导频方案,简化数学模型;再通过正交映射对估计的基扩展模型系数进行转换,从而进一步提高信道估计的精确度。同时采用归一化均方误差和误码率来衡量信道的估计性能,实验仿真表明,提出的算法在高速的移动环境下能有效提高估计性能。
針對雙選擇衰落信道下OFDM繫統中基于複指數基擴展模型(CE-BEM)的信道估計算法存在的不足,提齣瞭一種基于加窗的基擴展模型信道估計算法。該算法通過時域加窗和去窗處理來減少CE-BEM存在的頻譜洩露,併抑製多普勒頻移對估計性能的影響;利用設計的導頻方案,簡化數學模型;再通過正交映射對估計的基擴展模型繫數進行轉換,從而進一步提高信道估計的精確度。同時採用歸一化均方誤差和誤碼率來衡量信道的估計性能,實驗倣真錶明,提齣的算法在高速的移動環境下能有效提高估計性能。
침대쌍선택쇠락신도하OFDM계통중기우복지수기확전모형(CE-BEM)적신도고계산법존재적불족,제출료일충기우가창적기확전모형신도고계산법。해산법통과시역가창화거창처리래감소CE-BEM존재적빈보설로,병억제다보륵빈이대고계성능적영향;이용설계적도빈방안,간화수학모형;재통과정교영사대고계적기확전모형계수진행전환,종이진일보제고신도고계적정학도。동시채용귀일화균방오차화오마솔래형량신도적고계성능,실험방진표명,제출적산법재고속적이동배경하능유효제고고계성능。
In terms of the deficiencies of channel estimation algorithm based on the Complex Exponential Basis Expansion Model(CE-BEM)in Orthogonal Frequency Division Multiplexing(OFDM)systems under doubly-selective fading chan-nels, this paper proposes a new channel estimation algorithm based on windowed basis expansion model. The algorithm can be applied to reduce spectrum leakage which exists in CE-BEM through the time domain windowing and de-windowing processing, and suppress the influence of doppler shift to estimation performance. The mathematical model is simplified by using the designed pilot scheme;and then the estimated coefficients of CE-BEM are converted by orthogonal projection, and further improve the channel estimation accuracy. Besides, the Normalized Mean Square Error(NMSE)and Bit Error Rate(BER)are used to measure the channel estimation performance. Experimental simulation results demonstrate that the proposed algorithm can effectively improve the channel estimation performance in mobile environment with high speed.