| 舰载指控系统航迹相关算法研究 |
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| 引用本文： | 原新,朱齐丹.舰载指控系统航迹相关算法研究[J].哈尔滨工业大学学报,2002,34(1):125-127,144. |
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| 作者姓名： | 原新 朱齐丹 |
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| 作者单位： | 哈尔滨工程大学,自动化学院,黑龙江,哈尔滨,150001 |
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| 摘 要： | 基于随机神经网络的多目标数据关联成果的基础上，提出一种新的适合实际应用的多目标跟踪的综合方法。该方法放弃了联合概率关联方法的加权平均更新航迹的特点，利用计算出来的互联概率在航迹更新时作一对一的互联决策，解决了跟踪多目标时相邻目标时相邻目标的航迹趋于合并的问题，同时给出了航迹起始的通用方法，并通过仿真研究说明改进算法的有效性和可行性。
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| 关 键 词： | 多目标跟踪 神经网络 数据关联 状态估计 航迹 飞行轨迹 舰载指控系统 |
| 文章编号： | 0367-6234(2002)01-0125-03 |
Flight track association algorithm for shipborne C3I system |
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| YUAN Xin,ZHU Qi dan.Flight track association algorithm for shipborne C3I system[J].Journal of Harbin Institute of Technology,2002,34(1):125-127,144. |
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| Authors: | YUAN Xin ZHU Qi dan |
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| Abstract: | A new method of multi target data association based on the probabilistic neural network abandons the weighted average characteristic of the joint algorithm, and makes use of the associated probability to make one to one interconnection descision while the trace is renewed, and solves the problem of trace consolidation of neighbor targets. In addition, the presents a universal method of tracking initiation. The effectiveness of the proposed method is verified by a series of simulations. |
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| Keywords: | multi target tracking neural networks data association state estimation |
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