【摘要】 提出了一种新的近场源到达方向和距离的联合估计算法.基于阵列接收数据的高阶累积量,构造了两个适当的矩阵束,它们的广义特征值的相位给出到达方向和距离的估计,同时其特征值的幅度实现二维参数配对.该算法的参数估计有闭式解,不需要复杂的谱峰搜索和参数配对算法.由于算法使用了四阶累积量,所以适用于任意结构的加性高斯噪声环境.计算机仿真实验证实了所给算法的有效性.更多还原

【Abstract】 A new subspace algorithm for jointly estimating the direction-of-arrival(DOA) and range of near field sources is proposed.Based on the higher order statistics of the data received by the array,two matrix pencils are elaborately constructed.The phases of the generalized eigenvalues of these two matrix pencils give the estimation of DOA and range,while their amplitudes can automatically pair among parameters.Without spectral peak searching and pairing procedure,the proposed algorithm gives closed-form solutions to the parameters.In addition,it can be applied to arbitrary additive Gaussian noise environments since the fourth-order cumulants are exploited.Its effectiveness is verified by computer simulation results.更多还原