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首页> 外文期刊>Defence science journal >Fusion of Radar and IRST Sensor Measurements for 3D Target Tracking using Extended Kalman Filter
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Fusion of Radar and IRST Sensor Measurements for 3D Target Tracking using Extended Kalman Filter

机译:使用扩展卡尔曼滤波器的3D目标跟踪的雷达和IRST传感器测量结果融合

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摘要

Tracking algorithms for IRST and radar are implemented and their performance is checked with simulated data. Detailed mathematical expressions given could be useful for implementation. Performance evaluation metrics have been presented to check the tracking algorithm performance. Two fusion schemes have been presented and their performances evaluated with simulated data. It is concluded that both fusion schemes performed alike with the second fusion scheme giving slightly better results. From the results, it is also concluded that fusion of IRST and radar would improve the tracking performance and reduce the positional uncertainty compared to individual trackers. Defence Science Journal, 2009,?59(2), pp.175-182 ,?DOI:http://dx.doi.org/10.14429/dsj.59.1506
机译:实施了针对IRST和雷达的跟踪算法,并通过仿真数据检查了它们的性能。给出的详细数学表达式可能对实现有用。已经提出了性能评估指标以检查跟踪算法的性能。提出了两种融合方案,并用模拟数据评估了它们的性能。结论是,两种融合方案在第二种融合方案中的执行效果相似,均给出了更好的结果。从结果还可以得出结论,与单个跟踪器相比,IRST和雷达的融合将改善跟踪性能并减少位置不确定性。国防科学杂志,2009,59(2),175-182页,DOI:http://dx.doi.org/10.14429/dsj.59.1506

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