透视图(图形)
插值(计算机图形学)
信号重构
互质整数
信号(编程语言)
计算机科学
信号处理
算法
计算机视觉
人工智能
数学
数字信号处理
计算机硬件
运动(物理)
程序设计语言
作者
Zhen Chen,Chongyi Fan,Xiaotao Huang
出处
期刊:Electronics Letters
[Institution of Electrical Engineers]
日期:2020-09-25
卷期号:56 (22): 1213-1215
被引量:2
摘要
Coprime arrays can highly increase degree-of-freedom by operating the second-order virtual signal. However, the corresponding virtual array is discontiguous, and thus most existing direction-of-arrival estimation approaches fail to utilise all received information. To avoid performance loss, the authors intend to convert the discontiguous array into a contiguous one in this Letter and propose two virtual array interpolation algorithms for the coprime array from the perspective of signal reconstruction. By promoting the sparsity of the signal via simplified atomic norm minimisation and enhanced matrix completion, respectively, the two algorithms can effectively reconstruct the signal of the interpolated virtual array in a gridless manner. Simulation results are presented to demonstrate the performance advantage of the two proposed approaches.
科研通智能强力驱动
Strongly Powered by AbleSci AI