Target motion analysis with evolutionary search by fusion of two moving acoustic sensors

机译：通过融合两个移动声传感器进行进化搜索的目标运动分析

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This paper focuses on target motion analysis by fusion of information from two moving acoustic sensors. These two sensors may obtain small measurements in order to make quick analysis of moving targets. In this situation, conventional approaches often fail to find accurate motion of targets. In this paper, a fusion algorithm for target motion analysis designed to handle this situation is proposed. First, optimization based PSO is applied in order to find accurate initial motion of targets. Second, the target trajectory is estimated via a sequential fusion algorithm based on UKF. According to the various simulated results, the effectiveness of the proposed method is then verified.

机译：本文着重于通过融合来自两个移动声传感器的信息来进行目标运动分析。这两个传感器可能会进行少量测量，以便快速分析运动目标。在这种情况下，常规方法通常无法找到目标的精确运动。本文提出了一种用于目标运动分析的融合算法，旨在解决这种情况。首先，应用基于优化的PSO，以便找到目标的准确初始运动。其次，通过基于UKF的顺序融合算法估计目标轨迹。根据各种仿真结果，验证了所提方法的有效性。

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来源
《2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems》|2017年|247-252|共6页
会议地点 Daegu(KR)
作者
Hyunhak Shin; Wooyoung Hong; Ria Kim; Hanseok Ko;
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作者单位

Department of Visual Information Processing, Korea University, Seoul, 136-713, Korea;

Department of Defense System Engineering, Sejong University, Seoul, 143-747, Korea;

Department of Biomedical Engineering, George Washington University, Washington D.C, 20052, USA;

Department of Electrical Engineering, Korea University, Seoul, 136-713, Korea;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Sensors; Mathematical model; Time measurement; Trajectory; Cost function; Frequency measurement;

机译：传感器;数学模型;时间测量;轨迹;成本函数;频率测量;;

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专利

1. Improved DS acoustic-seismic modality fusion for ground-moving target classification in wireless sensor networks [J] . Qiang Pan, Jianming Wei, Hongbing Cao, Pattern recognition letters . 2007,第16期

机译：用于无线传感器网络中地面目标分类的改进DS地震模态融合
2. Sensor Fusion for Accurate Ego-Motion Estimation in a Moving Platform [J] . ChuhoYi, JungwonCho International Journal of Distributed Sensor Networks . 2015,第3期

机译：传感器融合可在移动平台中进行准确的自我运动估计
3. On locating low altitude moving targets using a planar acoustic sensor array [J] . Huawei Chen, Junwei Zhao Applied Acoustics . 2003,第11期

机译：使用平面声传感器阵列定位低空移动目标
4. Target motion analysis with evolutionary search by fusion of two moving acoustic sensors [C] . Hyunhak Shin, Wooyoung Hong, Ria Kim, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems . 2017

机译：通过融合两个移动声学传感器的进化搜索目标运动分析
5. Cooperative multi-sensor data fusion to geo-localize ground moving targets using an aerial sensor and a human as an additional sensor. [D] . Motaghi, Azima. 2014

机译：使用空中传感器和人作为附加传感器，协作式多传感器数据融合可对地面移动目标进行地理定位。
6. Canoeing Motion Tracking and Analysis via Multi-Sensors Fusion [O] . Long Liu, Sen Qiu, ZheLong Wang, 2020

机译：通过多传感器融合进行独木舟运动跟踪和分析
7. Optimal search for the wake of a moving target when searcher motion is constrained [O] . Guthe Douglas Burden Jr. 1983

机译：当搜索器运动受到限制时，对移动目标的唤醒进行最佳搜索

Target motion analysis with evolutionary search by fusion of two moving acoustic sensors

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