【摘要】 为了拓宽最大后验概率 -噪声子空间拟合 ( MAP- NSF)算法在信号到达角估计上的适用范围 ,针对通道特性失配和非结构误差两种阵列扰动模型 ,对 MAP- NSF算法的信号到达角估计问题进行了讨论。给出了两种误差模型参数化之间的关系 ,通过分析 ,得到了在非结构误差模型下 MAP- NSF算法的收敛条件 ,同时证明了在通道特性失配模型下 ,MAP- NSF算法可适用于有限样本误差与非结构误差不同量级时的情况。数值仿真结果证实了所得到结论的正确性更多还原

【Abstract】 To extend the applied range of MAP-NSF algorithm, the problem of robust estimation of DOAs of spatial signals under gain/phase error and unstructured error were considered. The parameterization relationship between gain/phase error model and unstructured error model was discussed firstly, after theoretical analysis, the convergent condition of MAP-NSF algorithm was derived under unstructured error and we extended the applied range of this algorithm under gain/phase error. The numerical results validate the theoretical analysis.更多还原