【摘要】 本文提出了一种基于高阶累积量的近场源距离、方位及频率三维参数联合估计方法,该方法利用构造的累积量矩阵的特征分解获得信号子空间,三维参数估计分别由构造的矩阵的特征值直接估计得到,算法计算简单而无需任何搜索且适于任意高斯噪声环境,与现有的方法相比,本文算法由于无需利用阵列的中心对称结构,因而有效的避免了阵列的孔径损失.最后,计算机仿真实验验证了算法的性能.更多还原

【Abstract】 A new subspace method based on Cumulant is presented for joint estimation of ranges directions-of-arrival(DOA’s) and frequencies of multiple near-field sources impinging on an array of sensors.The parameters of sources are directly given by the eigenvalues of certain constructed matrices.Compared with several existing methods,the loss of array aperture is effectively avoided and hence the performance improvement of parameter estimation is achieved.Simulation results show that the proposed method outperform an ESPRIT-like method.更多还原