.png){kind=icon}
返回
Localization of multiple sources with known waveforms by array response matching
.png){kind=icon}
PRE
AI
DOI：10.1016/j.sigpro.2020.107721.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We present a novel and computationally-efficient solution to the localization of multiple sources with known waveforms, based on array response matching. We first derive the multidimensional array response matching (ARM) solution, which amounts to a minimization problem involving the location of the sources. To simplify the computational complexity, we derive a 1-dimensional version, which is closely related to the MVDR solution. We then introduce a linearly constrained version of this solution and apply it to exploit a-priori knowledge regarding the waveforms of the sources. The proposed solution involves only a 1-dimensional search and is therefore computationally much simpler than the corresponding maximum likelihood (ML) solution, which involves an iterative multidimensional search. Simulation results, demonstrating the close similarity in performance of the proposed solution and the ML solution, are included. (C) 2020 Elsevier B.V. All rights reserved.
Keyword:
Passive localization
Direction finding
Direction-of-arrival (DOA) estimation
Minimum variance distortion-less response (MVDR)
Linearly-constrained solution
Maximum likelihood
Known waveforms
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:
3.6
论文数:
10.0K
被引数:
1.7W
机构
引用论文
.png){kind=icon}
Modification of the structure and electrochemical properties of poly(thiophene) by ether groups
PREAI
分享收藏
分享收藏分享收藏 没有更多内容
没有更多内容