Conjugate Augmented Decoupled 3-D Parameters Estimation Method for Near-Field Sources
Conjugate Augmented Decoupled 3-D Parameters Estimation Method for Near-Field Sources
复制标题
DOI：
10.1109/taes.2022.3164864
复制
发表时间：
2022-10
影响因子：
4.4
通讯作者：
Hua Chen;Zhi-Min Jiang;W. Liu;Ye Tian;G. Wang
中科院分区：
文献类型：
--
作者：
Hua Chen;Zhi-Min Jiang;W. Liu;Ye Tian;G. Wang
提出了一种基于对称十字阵的二维波达方向和距离估计近场源定位方法。该算法首先利用信号自相关的共轭对称性构造共轭增广时空互相关矩阵，然后利用Khatri-Rao积的性质对扩展导向矢量进行解耦，避免了通常的多维搜索，最后采用3种一维MUSIC型搜索得到结果。该方法可以实现与每个源相关联的多个参数的自动配对，它也适用于欠定的情况。此外，随机Cramer-Rao下界具有不同的时间延迟。仿真结果表明，与现有的两种方法相比，该方法在低信噪比和小快拍数下，对DOA和距离参数都有较好的估计性能。
A near-field source localization method is proposed for 2-D direction-of-arrival (DOA) and range estimation based on a symmetrical cross array. It first employs the conjugate symmetry property of signal autocorrelation for different time delays to construct a conjugate augmented spatial–temporal cross-correlation matrix, then the extended steering vector is decoupled to avoid the usual multidimensional search based on the properties of the Khatri–Rao product, and finally three 1-D MUSIC-type searches are employed to obtain the results. The proposed method can realize automatic pairing of multiple parameters associated with each source and it also works in the underdetermined case. Furthermore, the stochastic Cramer–Rao lower bound with different time delays is derived. Compared with two existing methods, simulation results demonstrate that the proposed method provides satisfactory estimation performance for both the DOA and range parameters at low signal-to-noise ratio and with a small number of snapshots.