| 一种改进的基于预测融合的跟踪航迹融合模型 |
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| 引用本文： | 司迎利,苏晓蕾,王艺栋,杜瑾. 一种改进的基于预测融合的跟踪航迹融合模型[J]. 红外技术, 2019, 41(5): 477-482 |
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| 作者姓名： | 司迎利 苏晓蕾 王艺栋 杜瑾 |
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| 作者单位： | 中国空空导弹研究院,河南洛阳,471009;西安微电子技术研究所,陕西西安,710054;南京理工大学电子工程与光电技术学院,江苏南京,210094 |
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| 摘 要： | 针对基于预测融合的跟踪航迹融合模型(FP-TFM)在多传感器航迹融合时由于大量的矩阵运算导致的跟踪发散或失效问题提出了一种改进的基于预测融合的跟踪航迹融合模型(FP-ITFM),采用加权融合思想改进了FP-TFM的融合规则,使得改进后的FP-ITFM具有了较高的融合精度、较低的计算负载,同时增加了FP-ITFM的可扩展性、实时性以及稳定性。最后,Monte Carlo仿真结果验证了所提出模型的有效性。
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| 关 键 词： | 跟踪航迹融合 多传感器数据融合 加权融合 状态估计 卡尔曼滤波 |
An Improved Track Fusion Model with Fused Prediction |
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| SI Yingli,SU Xiaolei,WANG Yidong,DU Jin. An Improved Track Fusion Model with Fused Prediction[J]. Infrared Technology, 2019, 41(5): 477-482 |
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| Authors: | SI Yingli SU Xiaolei WANG Yidong DU Jin |
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| Affiliation: | (China Airborne Missile Academy,Luoyang 471009,China;Xi’an Institute of Microelectronics Technology,Xi’an 710054,China;Academy of Electronic and Optical Engineering of Nanjing University of Science and Technology,Nanjing 210094,China) |
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| Abstract: | Track fusion model with fused prediction involves many error-covariance and cross-covariance matrices when fusing multi-sensor data.This leads to tracking divergence and tracking failure problems.To solve this problem,an improved track fusion model with fused prediction(FP-ITFM)is proposed with the idea of weighted fusion.The improvement of the fusion rules in the fusion model makes FP-ITFM achieve high fusion accuracy,low calculation load,and scalability,real-time and stability.Finally,Monte Carlo simulation results verify the validity of the proposed model. |
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| Keywords: | track fusion multi-sensor data fusion weighted fusion state estimation Kalman filter |
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