电讯技术
電訊技術
전신기술
TELECOMMUNICATIONS ENGINEERING
2015年
1期
33-38
,共6页
LTE-Advanced%单载波频分多址%多输入多输出%球形译码%信号检测%性能分析
LTE-Advanced%單載波頻分多阯%多輸入多輸齣%毬形譯碼%信號檢測%性能分析
LTE-Advanced%단재파빈분다지%다수입다수출%구형역마%신호검측%성능분석
LTE-advanced%SC-FDMA%MIMO%sphere decoding%signal detection%performance analysis
多输入多输出( MIMO)系统的接收端需要有效的检测算法以处理衰落和空间复用干扰等削弱效应,而算法的性能和复杂度等特性会随不同的应用场景有所变化,因而从这些角度评估和比较不同算法对于MIMO系统的实现具有重要意义。针对LTE-A上行链路中单用户MIMO的应用场景,通过分析现有文献中的球形译码( SD )算法及相关方法,以及对工程可实现性的考量,引入了一种将基于单树搜索的SD与迭代干扰消除结合运用的实现方案,并在遵循3 GPP标准的上行仿真平台中对其进行了性能评估,观察了SD相对于MMSE的性能增益及相关趋势,进而为SD算法的工程实现提供参考依据。
多輸入多輸齣( MIMO)繫統的接收耑需要有效的檢測算法以處理衰落和空間複用榦擾等削弱效應,而算法的性能和複雜度等特性會隨不同的應用場景有所變化,因而從這些角度評估和比較不同算法對于MIMO繫統的實現具有重要意義。針對LTE-A上行鏈路中單用戶MIMO的應用場景,通過分析現有文獻中的毬形譯碼( SD )算法及相關方法,以及對工程可實現性的攷量,引入瞭一種將基于單樹搜索的SD與迭代榦擾消除結閤運用的實現方案,併在遵循3 GPP標準的上行倣真平檯中對其進行瞭性能評估,觀察瞭SD相對于MMSE的性能增益及相關趨勢,進而為SD算法的工程實現提供參攷依據。
다수입다수출( MIMO)계통적접수단수요유효적검측산법이처리쇠락화공간복용간우등삭약효응,이산법적성능화복잡도등특성회수불동적응용장경유소변화,인이종저사각도평고화비교불동산법대우MIMO계통적실현구유중요의의。침대LTE-A상행련로중단용호MIMO적응용장경,통과분석현유문헌중적구형역마( SD )산법급상관방법,이급대공정가실현성적고량,인입료일충장기우단수수색적SD여질대간우소제결합운용적실현방안,병재준순3 GPP표준적상행방진평태중대기진행료성능평고,관찰료SD상대우MMSE적성능증익급상관추세,진이위SD산법적공정실현제공삼고의거。
To deal with weakening effects such as fading and spatial multiplexing interference,the receiver of a multiple-input multiple-output( MIMO) system needs effective detection algorithm,while the algo-rithm’ s characteristics such as performance and complexity will vary depending on the application scenar-io. Therefore,it is of importance for the implementation of MIMO systems to evaluate and compare different algorithms in these aspects. For the scenario of single-user MIMO in the uplink of LTE-A,this paper intro-duces an implementation scheme for sphere decoding( SD) algorithms,based on single-tree search and it-erative interference cancellation,through the analysis of the SD algorithms in existing literatures and related methods,with the engineering implementability taken into account. Through performance evaluation in an uplink simulation platform compliant with 3GPP standards,the performance gain of SD compared with that of minimum mean square error( MMSE) and its relative trends are observed,thereby providing guidelines for engineering implementation of SD algorithms.