阵元间互耦与通道幅度不一致性条件下的信源数估计

基于信息论的MDL准则和AIC准则在均匀高斯白噪声背景下估计信源个数具有良好的性能,而当系统中存在阵元间互耦和通道幅度不一致性时,系统噪声变成非均匀色噪声,此时再使用MDL准则和AIC准则估计信源个数会完全失效.对此,分析了信息论方法与盖氏圆方法的内在联系,选择盖氏圆半径作为概率模型的参数,提出改进的GMDL准则和GAIC准则.仿真和实测数据实验结果表明,GMDL和GAIC准则在系统存在阵元间互耦和通道幅度不一致性条件下具有良好的估计性能.

Estimation of source number under conditions of mutual coupling effects and channel amplitude mismatch

The MDL criterion and AIC criterion based on information theorem have excellent performance under the condition of uniform Gauss white noises.But when there are the mutual coupling effects and channel amplitude mismatch in the system,the noise changes to a non-uniform and colored noise.And under this condition,it is unpossible to estimate the source number by using the MDL criterion and AIC criterion yet.To deal with this problem,the inner-relationsheep between the information theoretic method and Gerschgorin radius method and chooses Gerschgorin radius as the parameter of the probability model is analyzed.And then two improved criteria named GMDL criterion and GAIC criterion are proposed.The computer simulation and measured data results illustrate the excellent performance of the proposed GMDL criterion and GAIC criterion.