.png){kind=icon}
返回
Spatial Smoothing PAST Algorithm for DOA Tracking Using Difference Coarray
.png){kind=icon}
PRE
AI
DOI：10.1109/LSP.2019.2942146.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this letter, we devise a subspace updating algorithm for tracking directions-of-arrival (DOAs) using the difference coarray of a sparse array. Our solution is based on the projection approximation subspace tracking (PAST) framework, where we design new cost function and iterative process via spatial smoothing of the difference coarray output signal. Since the proposed spatial smoothing PAST (SS-PAST) algorithm exploits the aperture of the difference coarray, it attains higher DOA tracking accuracy than the conventional PAST method operating in a uniform linear array. Simulation results demonstrate the effectiveness of the SS-PAST algorithm.
Keyword:
Signal processing algorithms
Direction-of-arrival estimation
Radar tracking
Heuristic algorithms
Signal to noise ratio
Sensor arrays
Smoothing methods
DOA tracking
subspace tracking
difference coarray
PAST
SS-PAST
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
机构
引用论文
.png){kind=icon}
Effect of low oxygen pressure on structural and magnetic properties of quenched SrFe12O19 thin films
PREAI
分享收藏分享收藏Ansa-[(2,2-bis-η-cyclopentadienyl)propane]-molybdenum and -tungsten chemistry and related studies
PREAI
分享收藏
查看更多内容