.png){kind=icon}
返回
Asynchronous Multisonar Data Integration Approach Used to Detect Sparse Targets
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2019.2906327.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Due to the advantage of the distributed multisensor detection system which makes sonar detect further and more accurate estimation of the target state, distributed multisensor data fusion algorithms are widely applied to the sonar detection system. However, on the one hand, the most asynchronous algorithms focus on how to convert asynchronous data fusion into synchronous data fusion. On the other hand, sonar detection system suffers from more serious asynchronous data problems (such as more serious random delay and packet loss defaults) than radar and other fields. Therefore, the traditional asynchronous fusion method has some limitations. When the targets are sparse, this paper proposed a novel asynchronous multisonar data integration approach, in which the Gaussian mixture probability hypothesis density (GMPHD) filter is used to filter clutter for local sonar sensor. Then, the Gaussian mixture model (GMM) algorithm is used to model asynchronous data over a period of time. Finally, all local sonar detection data are integrated into a surveillance region image to help to detect the target. Several simulation tests and a sea test are presented in this paper to test this approach performance.
Keyword:
Asynchronous data integration
GMPHD filter
sparse target detection
multisonar detection system
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:
9.8W
被引数:
29.4W
机构
引用论文
Aero Engine Gas Path Performance Tracking Based on Multi-Sensor Asynchronous Integration Filtering Approach.png)
IEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏Fossil Araceae from the Upper Cretaceous of Patagonia, Argentina, with implications on the origin of free-floating aquatic aroids来自阿根廷巴塔哥尼亚上白垩统的化石天南星科植物，及其对浮水生天南星科植物起源的启示OAAI
OAAI分享收藏Multitarget Tracking Algorithm Using Multiple GMPHD Filter Data Fusion for Sonar Networks基于多GMPHD滤波器数据融合的声纳网络多目标跟踪算法SENSORSOAAI
SENSORSIF3.5
OAAI分享收藏
查看更多内容