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改进预测协方差门限法的采样周期自适应选择算法 被引量:2
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作者 李明地 左燕 +1 位作者 赵猛 谷雨 《火力与指挥控制》 CSCD 北大核心 2017年第5期19-22,共4页
传感器采样周期是影响目标跟踪的一个重要参数。现有自适应采样周期策略中,一些算法运算量比较大,计算效率低,不具有一般性。为此提出了一种改进的预测协方差门限法。该算法改进传统采样周期的全遍历寻优策略。最后与几种自适应采样周... 传感器采样周期是影响目标跟踪的一个重要参数。现有自适应采样周期策略中,一些算法运算量比较大,计算效率低,不具有一般性。为此提出了一种改进的预测协方差门限法。该算法改进传统采样周期的全遍历寻优策略。最后与几种自适应采样周期算法与固定采样周期算法通过交互式多模型(IMM)滤波算法进行仿真比较。仿真结果表明该算法在目标跟踪过程中能满足跟踪需求,具有较少的计算量,较高的运行效率,比固定采样周期算法更能节约资源。 展开更多
关键词 目标跟踪 自适应采样周期 固定采样周期 交互式多模型
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Rapid identification of single constant contaminant source by considering characteristics of real sensors
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作者 蔡浩 李先庭 +2 位作者 孔令娟 马晓钧 邵晓亮 《Journal of Central South University》 SCIE EI CAS 2012年第3期593-599,共7页
For the release of hazardous contaminant indoors, source identification is critical for developing effective response measures. A method which can quickly and accurately identify the position, emission rate, and relea... For the release of hazardous contaminant indoors, source identification is critical for developing effective response measures. A method which can quickly and accurately identify the position, emission rate, and release time of a single constant contaminant source by using real sensors was presented. The method was numerically demonstrated and validated by a case study of contaminant release in a three-dimensional office. The effects of the measurement errors and total sampling period of sensor on the performance of source identification were thoroughly studied. The results indicate that the adverse effects of the measurement errors can be mitigated by extending the total sampling period. For reaching a desirable accuracy of source identification, the total sampling period should exceed a certain threshold, which can be determined by repeatedly running the identification method tmtil the results tend to be stable. The method presented can contribute to develop an onsite source identification system for protecting occupants from indoor releases. 展开更多
关键词 source identification contaminant source indoor environment computational fluid dynamics (CFD) air distribution
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