中文摘要：

针对近场源测向系统,提出了一种基于矢量传感器对的亏秩定位算法。该算法能实现信号角度、距离和极化参数的闭式估计,计算量低;无需对相位延迟项进行菲涅尔近似,而且没有忽略不同空间位置处传感器对于信号源观测视角的差异,进而降低信号源距离阵列接收系统较近时存在的误差,更适合甚近场条件下的定位。仿真结果表明该亏秩算法在低信噪比和短快拍数情况下性能良好。此外,信号距离估计的几何方法在估计精度和计算复杂度两方面均优于子空间方法,因而适用于实时性要求较高的硬件系统。

英文摘要：

A computationally efficient rank-reduction based near-field source localization algorithm is proposed,which is of closed-form in joint estimation of angle,range and polarization.It is especially suitable for the case of very-near-field sources since the customary Fresnel approximation is herein avoided.Moreover,the observation angle differences between variant sensors are not ignored so that the errors which are significant especially in the case of very-near-field sources are reduced.Simulation results show that the algorithm has a good performance in the difficult case of low SNR values and short data-length.Furthermore,the geometric method based distance estimation has a superior performance to the subspace method on both of estimation accuracy and calculation complexity so that it is suitable for the hardware systems having a particular requirement of real-time processing.