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DEVICE FOR MONITORING THE CLASSIFICATION OF AIR OBJECTS with the trajectory the instability of motion

机译:用运动的不稳定性轨迹监测空气物体的分类的装置

摘要

The device classification aerial surveillance sites with the trajectory of motion instabilities.; The invention relates to a radar apparatus (systems) and designed for automated labeling of air objects of observation (VON) is flying with the trajectory instabilities (TN) in a turbulent atmosphere.; The object of the utility model is to improve the quality classification BOH by harmonizing the thresholds for decisions with conditions ranging VAUGHN - or rather, by identifying locations intervals, within which preserved the angular orientation of the object relative to the radar.; Solution of the problem is achieved by that in the known device of the prototype is further added data block accumulation and comparison and a second computing device with a corresponding change in the interconnect links. The proposed construction of the circuit device can increase the probability of making the right decision when classifying VAUGHN due to sound (the corresponding terms of location) selection decision thresholds. In other words, algorithmically selected locations such conditions, which meet the thresholds of the decision-making of belonging to a particular class of BOH.; As follows from the description, the device classification BOH with TN motion has advantages over the prior art, as expressed in that classification is carried out using thresholds, exactly corresponding to the conditions of location of the object, which are selected by introducing a new parameter, calculated as the sum of reflection amplitude differences obtained at the same frequencies at different times.
机译:具有运动不稳定性轨迹的设备分类空中监视站点。本发明涉及一种雷达设备(系统),其被设计用于在湍流大气中以轨迹不稳定性(TN)飞行的观察空中物体(VON)的自动标记。本实用新型的目的是通过使决策的阈值与VAUGHN范围内的条件相协调来改善质量分类BOH,或者更确切地说,通过识别位置间隔来保持物体相对于雷达的角度定向。该问题的解决方案是通过在原型的已知设备中进一步增加数据块的累积和比较以及第二计算设备而在互连链路中进行相应更改而实现的。所提出的电路装置的构造可以增加由于声音(对应的位置项)选择决策阈值而对VAUGHN进行分类时做出正确决策的可能性。换句话说,通过算法选择的位置(例如条件)满足了属于特定BOH类别的决策阈值。从描述中可以看出,具有TN运动的设备分类BOH具有优于现有技术的优势,其表现为,分类是使用阈值进行的,该阈值与对象位置的条件完全相符,可以通过引入新参数来选择,计算为在相同频率,不同时间获得的反射振幅差的总和。

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