摘要
阵列信号源数的估计是空间谱估计中的一个重要问题。特征值门限预测法对阵列数据协方差矩阵的噪声特征值的上限进行预测,根据预测值的大小来决定信号源数。并且该算法不需要人为的设定检验门限。本文先从理论出发,推导了特征值门限预测算法;然后以均匀线性天线阵列进行仿真,对算法的正确性进行检验。
Estimating the number of sources in Array Signals processing is a very important problem of the Spatial Spectrum Estima- tion. Predicted Eigen-Threshold Approach forecasts the Upper limit of noise eigenvalue of Array Signals Covarianee Matrix. Come to decide the signal source number according to the size of forecast value.And this algorithm does not need artificial setting up to check a threshold. This paper sets off from theory first, Infer the Predicted Eigen-Threshold Approach; Then be in progress with homoge- neous linearity antenna array simulating, Carry out a checkout on algorithmic correctness.
出处
《微计算机信息》
2010年第4期148-149,145,共3页
Control & Automation
关键词
阵列信号
特征值门限预测
信号源数
Array Signals
Predicted Eigen-Threshold Approach
The Number Of Signals