title: Compressed Symmetric Nested Arrays and Their Application for Direction-of-Arrival Estimation of Near-Field Sources.
abstract: In this paper, a new sensor array geometry, called a compressed symmetric nested array (CSNA), is designed to increase the degrees of freedom in the near field. As its name suggests, a CSNA is constructed by getting rid of some elements from two identical nested arrays. The closed form expressions are also presented for the sensor locations and the largest degrees of freedom obtainable as a function of the total number of sensors. Furthermore, a novel DOA estimation method is proposed by utilizing the CSNA in the near field. By employing this new array geometry, our method can identify more sources than sensors. Compared with other existing methods, the proposed method achieves higher resolution because of increased array aperture. Simulation results are demonstrated to verify the effectiveness of the proposed method.
authors.affiliation: School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing 400054, China. lis@cqut.edu.cn.
authors.forename: Shuang
authors.initials: S
authors.lastname: Li
authors.affiliation: Shanghai Huawei Technologies Co., Ltd., Shanghai 200120, China. dfhsie@126.com.
authors.forename: Dongfeng
authors.initials: D
authors.lastname: Xie
keywords: compressed symmetric nested array; direction-of-arrival estimation; fourth-order cumulants; near-field; sensor array signal processing