东南大学学报(英文版)
東南大學學報(英文版)
동남대학학보(영문판)
JOURNAL OF SOUTHEAST UNIVERSITY
2013年
3期
229-234
,共6页
刘金铸%邢松%沈连丰
劉金鑄%邢鬆%瀋連豐
류금주%형송%침련봉
噪声投影按序逐次消去%对偶格约减%多输入多输出检测%干扰按序逐次消去
譟聲投影按序逐次消去%對偶格約減%多輸入多輸齣檢測%榦擾按序逐次消去
조성투영안서축차소거%대우격약감%다수입다수출검측%간우안서축차소거
ordered successive noise projection cancellation(OSNPC)%dual lattice reduction(DLR)%multi-input multi-output(MIMO)%detection%ordered successive interference cancellation(OSIC)
提出一种新的多输入多输出( MIMO)非线性检测算法,称为噪声投影按序逐次消去( OSNPC)算法,以改进传统的干扰按序逐次消去( OSIC)算法的计算复杂度方面的性能.OSIC算法从接收信号向量中逐次消去已知的干扰,而OSNPC算法从判决变量向量中逐次消去已知的噪声投影.理论分析表明,OSNPC算法在性能上等效于传统的 OSIC 算法,但其计算复杂度却大为降低.而且,当 OSNPC 算法用于对偶格约减( DLR)辅助MIMO检测时,所构成的基于OSNPC的DLR辅助MIMO检测方案,与基于OSIC的DLR辅助MIMO检测方案相比,其整体复杂度得到进一步降低,这是因为在它的检测过程中,省去了对偶格约减基的求逆运算.仿真结果验证了该检测方案的性能与复杂度的理论分析结论.
提齣一種新的多輸入多輸齣( MIMO)非線性檢測算法,稱為譟聲投影按序逐次消去( OSNPC)算法,以改進傳統的榦擾按序逐次消去( OSIC)算法的計算複雜度方麵的性能.OSIC算法從接收信號嚮量中逐次消去已知的榦擾,而OSNPC算法從判決變量嚮量中逐次消去已知的譟聲投影.理論分析錶明,OSNPC算法在性能上等效于傳統的 OSIC 算法,但其計算複雜度卻大為降低.而且,噹 OSNPC 算法用于對偶格約減( DLR)輔助MIMO檢測時,所構成的基于OSNPC的DLR輔助MIMO檢測方案,與基于OSIC的DLR輔助MIMO檢測方案相比,其整體複雜度得到進一步降低,這是因為在它的檢測過程中,省去瞭對偶格約減基的求逆運算.倣真結果驗證瞭該檢測方案的性能與複雜度的理論分析結論.
제출일충신적다수입다수출( MIMO)비선성검측산법,칭위조성투영안서축차소거( OSNPC)산법,이개진전통적간우안서축차소거( OSIC)산법적계산복잡도방면적성능.OSIC산법종접수신호향량중축차소거이지적간우,이OSNPC산법종판결변량향량중축차소거이지적조성투영.이론분석표명,OSNPC산법재성능상등효우전통적 OSIC 산법,단기계산복잡도각대위강저.이차,당 OSNPC 산법용우대우격약감( DLR)보조MIMO검측시,소구성적기우OSNPC적DLR보조MIMO검측방안,여기우OSIC적DLR보조MIMO검측방안상비,기정체복잡도득도진일보강저,저시인위재타적검측과정중,성거료대우격약감기적구역운산.방진결과험증료해검측방안적성능여복잡도적이론분석결론.
A novel nonlinear multi-input multi-output MIMO detection algorithm is proposed which is referred to as an ordered successive noise projection cancellation OSNPC algorithm. It is capable of improving the computation performance of the MIMO detector with the conventional ordered successive interference cancellation OSIC algorithm. In contrast to the OSIC in which the known interferences in the input signal vector are successively cancelled the OSNPC successively cancels the known noise projections from the decision statistic vector. Analysis indicates that the OSNPC is equivalent to the OSIC in error performance but it has significantly less complexity in computation.Furthermore when the OSNPC is applied to the MIMO detection with the preprocessing of dual lattice reduction DLR the computational complexity of the proposed OSNPC-based DLR-aided detector is further reduced due to the avoidance of the inverse of the reduced basis of the dual lattice in computation compared to that of the OSIC-based one. Simulation results validate the theoretical conclusions with regard to both the performance and complexity of the proposed MIMO detection scheme.