| 多传感器远距离目标跟踪精度分析 |
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| 引用本文： | 杨春玲,孙泓波,倪晋麟,刘国岁.多传感器远距离目标跟踪精度分析[J].南京理工大学学报(自然科学版),1999,23(3):241-244,248. |
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| 作者姓名： | 杨春玲 孙泓波 倪晋麟 刘国岁 |
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| 作者单位： | 1. 南京理工大学电子工程与光电技术学院,南京,210094
2. 南京电子技术研究所,南京,210013 |
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| 摘 要： | 该文主要研究了非线性系统中多传感器远距离目标跟踪问题，提出了分布的转换坐标卡尔曼滤波算法，给出了当多传感器不在同一位置时融合中心的状态估计组合公式。
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| 关 键 词： | 数据融合 卡尔曼滤波 目标跟踪 分布估计算法 |
Research of Multisensor for long Range Target Tracking Accuracy |
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| Yang Chunling,Sun Hongbo,Ni Jinlin,Liu Guosui.Research of Multisensor for long Range Target Tracking Accuracy[J].Journal of Nanjing University of Science and Technology(Nature Science),1999,23(3):241-244,248. |
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| Authors: | Yang Chunling Sun Hongbo Ni Jinlin Liu Guosui |
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| Abstract: | This paper mainly discusses the multisensor for a longrange target tracking in nonlinear systems.The Distributed Converted Measurement Kalman Filtering Algorithm (CMKFA) is proposed and the state evaluation equations in fusion center are deduced on the condition that sensors are fixed at different position.Then it is analyzed that the sensorstarget geometry has a great influence on the tracking accuracy.From the theoretical analysis and the simulation results,it can be proved that depositing sensors rationally in nonlinear systems can raise the target tracking accuracy.A method for depositing the sensors rationally is given on 2dimensional plane. |
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| Keywords: | data fusion Kalman filtering target tracking distributed estimation algorithm |
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