降维投影矩阵法空间谱估计性能研究  

Research on the Performance of Space Spectrum Estimation by Rank-Reduction Projective Matrix Method

作　　者：王芳[1] 罗景青[1] 鄢攀[1] 

机构地区：[1]解放军电子工程学院,合肥230037

出　　处：《电子对抗》2007年第1期16-20,共5页Electronic Warfare

摘　　要：首先阐述了降维投影矩阵算法的原理，并通过大量的计算机仿真实验与MUSIC和最小模方法进行了比较，对所得的结果进行了分析，得到了在信噪比较低但采样数据较长的情况下，降雏投影矩阵算法比MUSIC和最小模方法具有更好的性能的结论：降维投影矩阵算法成功分辨的概率更大、计算量更小。In this paper, the principle of the Rank-Reduction projection matrix algorithm is expatiated, this algorithm is compared with MNM method and MUSIC method through massive simulation experiments. By analyzing the result, the conclusion can be obtained that rank-reduction projective matrix method has better successful differentiated probability and less computation quantity under the condition of low SNR and more sampling data.

关 键 词：降雏投影矩阵法 成功分辨概率 谱估计 

分 类 号：TN713[电子电信—电路与系统]