Abstract
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.
Highlights
Source localization plays an important role in the array signal processing area
We propose a high-order propagator-based method (HOP) that can achieve the sequential estimation of the directions of arrival (DOA) and range of near-field sources with only one matrix and without the application of eigenvalue decomposition (EVD)
We carry out several simulations to show the performance of the proposed method, compared with that of simplified high-order MUSIC method (SHO) [34], LOFNS [19], and the modified ESPRIT-like method [26]
Summary
Source localization plays an important role in the array signal processing area. According to the distance between the receiver array and the sources, source localization can be classified as far-field and near-field. In the far-field case, the impinging signal wavefront is considered as a plane, and its direction of arrival (DOA) is enough to localize the source [1]. This assumption fails to hold in the near-field scenario. The wavefront of an impinging signal is spherical [2,3] Both the range and DOA are required to localize the source. It is worth noticing that near-field source localization can be applied in a wide range of scenarios, including, but not limited to, radar, sonar, and electronic surveillance [4,5]
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