Grid-Refinement Direction of Arrival Tracking Via Least Square Compressive Sensing
In this paper,we propose a novel DOA tracking algorithm based on Least Square Compressive Sensing.The algorithm comes from the observation that a compressive sensing problem turns into a least square problem once the support is known.Utilizing the support from former time instant,compressive sensing recovery is performed on residual when least square residual is bigger than a threshold.In order to improve the resolution and decrease computation complexity,grid refinement is performed before least square.Under the assumption that the sparsity pattern of signal changes slowly,the grid refinement step is sufficient to track the DOA and the compressive sensing recovery step can be omitted in most of the time.Numerical results demonstrate that the proposed DOA tracking algorithm possess better performance and requires less computational complexity.
DOA tracking least square compressive sensing grid refinement
Yulong Gao Deshun Hu Yongkui Ma
Department of Communication Engineering Harbin Institute of Technology Harbin, China
国际会议
哈尔滨
英文
211-215
2016-07-21（万方平台首次上网日期，不代表论文的发表时间）