基于高阶累积量的近场源三维参数估计算法

Algorithm of 3 Parameters Estimation in Near-field Sources Based on High-order Cumulant

针对近场源距离、频率和到达角三维参数的联合估计问题,采用了一种基于高阶累积量理论的对对近场源三维参数联合估计算法。利用几个四阶累积量矩阵构造一个高维的累积量矩阵,然后对其进行特征分解,以求得信号子空间,最终估计出各信号源参量。算法不需要谱峰搜索,适用于任意的加性高斯噪声环境,仿真结果表明算法可以较精确的估计出两个信源的方位角、距离和频率三维参数。

For estimating the frequency,range and DOA of near-field sources,a multi-parameter estimation algorithm is presented based on high-order cumulant.A high-dimension cumulates matrix formed of some fourth-order cumulants matrixes,and orthogonal decompose it to get the signal sub-space.Finally estimate the parameters of each signal.The algorithm doesn＇t need peaks searching and apply to any arbitrary Gaussian noise environments.Simulation results show that algorithm can estimate the frequency,range and DOA of two near-field signal sources precisely.