基于高阶累积量虚拟阵列扩展的DOA估计

该文提出了一种基于高阶累积量虚拟阵列扩展的DOA估计新方法.该方法基于高阶累积量孔径扩展的性质,由实际阵元的坐标与方向矢量直接计算出虚拟阵元的坐标与方向矢量,利用两种阵元的坐标之间的关系构造四阶或六阶协方差矩阵,运用MUSIC方法对非高斯独立信号源进行DOA估计.该方法在任意阵列的情况下,对非高斯独立信号源进行一维与二维DOA估计,均能准确地估计出多于实际阵元数目的方向角与仰角.实验表明,该方法简单、有效地扩展了阵列孔径,提高了阵列的空间分辨能力,有效地抑制了高斯噪声的干扰,降低了高阶累积量协方差矩阵的计算量.

DOA Estimation of Virtual Array Extension Based on Fourth-order Cumulant

A new method of DOA estimation is presented based on higher-order cumulant. Using the aperture extension property of higher-order cumulant , this method calculates the coordinate and steer vector of virtual sensors from the coordinate and steer vector of actual sensors ,uses the their relation to construct the fourth-order or sixrth-order covariance matrix ,thus using MUSIC algorithm to estimate DOA. This method could extend arbitrary array aperture efficiently based actual array aperture efficiently and estimate the azimuth and elevation of more non-Gaussian independent sources than the number of the actual sensors. It is shown through the simulations that this method is simple and valid for virtual array extension virtualarray and increases the resolution of the actual array, the Gaussian noise is suppress significantly and computation cost is significantly reduced.