| 舰艇编队多声纳数据融合 |
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| 引用本文： | 刘雄,康凤举,张林芳.舰艇编队多声纳数据融合[J].火力与指挥控制,2007,32(8):40-43. |
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| 作者姓名： | 刘雄 康凤举 张林芳 |
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| 作者单位： | 西北工业大学航海学院,陕西,西安,710072 |
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| 摘 要： | 分析了标准kalman滤波(KF)和自适应kalman滤波(AKF)的原理,通过仿真实验,对两种滤波算法的性能进行比较.结合各种声纳的探测特性和水下目标的特点,建立了舰艇编队的数据融合方案.选用简单凸组合融合算法作为舰艇编队协同反潜的航迹融合算法,将多声纳融合系统的融合结果和简单交叉定位算法进行了比较研究.仿真实验结果表明:自适应kalman滤波比标准kalman滤波具有更好的目标跟踪性能,多声纳融合结果较简单交叉定位结果的性能有大幅度提高,所选用的融合算法航迹能够较好的与真实航迹吻合.
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| 关 键 词： | 舰艇编队 声纳 数据融合 卡尔曼滤波 自适应卡尔曼滤波 naval fleet sonar data fusion kalman filter adaptive kalman filter 舰艇编队 声纳 数据融合 Fleet Data Fusion real simulation presents better tracking comparing result Choose simple data fusion algorithm cooperative method of fleet characteristics |
| 文章编号： | 1002-0640(2007)08-0040-04 |
| 修稿时间： | 2006年5月9日 |
The Research of Multi-Sonar Data Fusion in Naval Fleet |
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| LIU Xiong,KANG Feng-ju,ZHANG Lin-fang.The Research of Multi-Sonar Data Fusion in Naval Fleet[J].Fire Control & Command Control,2007,32(8):40-43. |
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| Authors: | LIU Xiong KANG Feng-ju ZHANG Lin-fang |
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| Abstract: | With analysis of Kalman Filter (KF) and Adaptive Kalman Filter (AKF),the capability between them is compared by simulation experiments.Considering the measurement properties of different sonar and the underwater targets' characteristics,the data fusion method of naval fleet is proposed.Choose the simple convex-combination algorithm as the track fusion algorithm in naval fleet cooperative anti-submarine,comparing and researching the fusion result of multi-sonar and the simple cross-orientation.The simulation result presents that AKF is better at targets tracking than KF,meanwhile,multi-sonar data fusion is better than simple cross-orientation,and the track of data fusion is fit well for the real. |
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| Keywords: | naval fleet sonar data fusion kalman filter adaptive kalman filter |
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