School of Automation, Guangdong University of Technology, Guangzhou 510006, China.
Institut d'Electronique et Télécommunications de Rennes (IETR), Université de Nantes, UMR CNRS 6164, Rue Christian Pauc BP 50609, 44306 Nantes, France.
Sensors (Basel). 2018 Dec 23;19(1):54. doi: 10.3390/s19010054.
In this paper, an efficient high-order propagator method is proposed to localize near-field sources. We construct a specific non-Hermitian matrix based on the high-order cumulant of the received signals. With its columns and rows, we can obtain two subspaces orthogonal to all the columns of two steering matrices, respectively, with which the estimation of the directions of arrival (DOA) and ranges of near-field sources can be achieved. Different from other methods, the proposed method needs only one matrix for estimating two parameters separately, therefore leading to a smaller computational burden. Simulation results show that the proposed method achieves the same performance as the other high order statistics-based methods with a lower complexity.
本文提出了一种有效的高阶传播子方法来实现近场源定位。我们基于接收信号的高阶累积量构建了一个特定的非厄米矩阵。利用该矩阵的列和行，我们可以分别得到两个子空间，它们与两个导向矩阵的所有列都正交，从而可以实现近场源的到达方向（DOA）和距离估计。与其他方法不同，所提出的方法仅需要一个矩阵即可分别估计两个参数，因此计算负担较小。仿真结果表明，该方法的性能与其他基于高阶统计量的方法相同，但复杂度更低。
