| 一种改进的α-β目标跟踪滤波算法 |
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| 引用本文： | 朱薇,夏传浩. 一种改进的α-β目标跟踪滤波算法[J]. 计算机应用, 2007, 27(8): 2053-2055 |
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| 作者姓名： | 朱薇 夏传浩 |
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| 作者单位： | 1. 合肥工业大学,计算机与信息学院,合肥,230009;安徽中医学院,医药信息工程学院,合肥,230038
2. 华东电子工程研究所,合肥,230031 |
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| 摘 要： | 数据处理系统是相控阵雷达实现搜索和对多目标精确跟踪的关键部分，目标跟踪滤波算法的优劣将直接决定系统的性能。介绍了一种改进的α-β滤波算法，然后将它和最小二乘滤波算法、卡尔曼滤波算法进行比较，对三种算法跟踪空中目标的直线飞行、改变航向的直线飞行两种情况的距离、方位、速度和航向等参数的均方差加以分析，证明了改进的α-β滤波算法在直线飞行模型下有着很好的综合效果，且计算量小，更有利于系统建模与仿真。
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| 关 键 词： | 相控阵雷达 自适应的α-β滤波算法 最小二乘滤波算法 卡尔曼滤波算法 |
| 文章编号： | 1001-9081（2007）08-2053-03 |
| 收稿时间： | 2007-02-13 |
| 修稿时间： | 2007-02-132007-04-16 |
Adaptive α-β filter algorithm |
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| ZHU Wei,XIA Chuan-hao. Adaptive α-β filter algorithm[J]. Journal of Computer Applications, 2007, 27(8): 2053-2055 |
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| Authors: | ZHU Wei XIA Chuan-hao |
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| Affiliation: | 1. School of Computer and Information, Hefei University Of Technology, Hefei Anhui 230009, China; 2. School of Medical Information Technology, Anhui College of Traditional Chinese Medicine, Hefei Anhui 230038, China; 3. East China Research Institute of Electronic Engineering, Hefei Anhui 230031, China |
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| Abstract: | Data processing system is the key of phased array radar search and multi-target tracking, and the tracking filter algorithm will directly determine the merits of the system's performance. Adaptive α-β filter algorithm was introduced, and then it was compared to LSR filter algorithm and Kalman filter algorithm, the mean square deviation of distance, position, speed and direction of these algorithms on the flight line was analyzed to discuss the specific use of the three filters in straight-line flight and about-ship straight-line flight. The experimental results prove that the adaptiveα-β filter algorithm has good effect in straight-line with small computational complexity, and it is in favor of modeling and simulation. |
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| Keywords: | phased array radar adaptive α-β filter algorithm LSR filter algorithm Kalman filter algorithm |
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