基于离格稀疏表示的近场信源定位方法  

Off-grid Sparse Representation Based Localization Method for Near-field Sources

作　　者：靳一[1] 徐常志 荆涛 吴晓欢 颜俊[2] 李明玉[3] JIN Yi;XU Changzhi;JING Tao;WU Xiaohuan;YAN Jun;LI Mingyu(China Academy of Space Technology-Xi’an,Xi’an 710100,China;School of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;School of Microelectronics and Communication Engineering,Chongqing University,Chongqing 400044,China)

机构地区：[1]中国空间技术研究院西安分院,西安710100 [2]南京邮电大学通信与信息工程学院,南京210003 [3]重庆大学微电子与通信工程学院,重庆400044

出　　处：《电子与信息学报》2021年第11期3105-3110,共6页Journal of Electronics & Information Technology

基　　金：国家重点研发计划项目(2019YFB1803102);国家自然科学基金(61801377,62171068)。

摘　　要：近场信源定位是下一代无线通信中的一个重要研究方向,现有的方法大多集中在传统子空间或在格稀疏方法。针对子空间类方法损失阵列孔径和稀疏表示类方法精度受网格划分效应制约的问题,该文提出了一种基于离格稀疏表示的定位方法。首先通过获得一个高阶累积量矩阵建立基于角度参数的离格信号模型,利用交替迭代优化方法实现角度的估计。然后根据角度估计值建立基于距离参数的离格信号模型,并采用交替迭代方法进行求解。仿真结果表明,所提方法不仅具有较高的估计精度,而且可以实现角度和距离参数的正确配对。Near-field source localization is a potential research topic in next-generation wireless communications.Most existing methods focus on traditional subspace based methods or on-grid sparse methods.For the problem that the accuracy of subspace class method loss array aperture and sparse representation method is restricted by mesh effect,an off-grid sparse representation localization method is proposed in this paper.First,by obtaining a high-order cumulant matrix,an angle based off-grid signal model is constructed and then the alternatively iterating optimization method is employed to estimate the angles.For range estimation,a range parameter based off-grid signal model is constructed by using the angle estimation values and is solved by alternatively iterating method.Simulation results reveal that the proposed method not only possesses high estimation accuracy,but also can realize auto-pairing of angles and ranges.

关 键 词：近场定位 稀疏表示 离格信号模型 交替迭代 

分 类 号：TN911.3[电子电信—通信与信息系统]