Air flight target classification and identification method based on radar track data
A flying target, classification and recognition technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve the problems of poor generality and low recognition rate of radar data, and achieve low cost, good classification accuracy, and good popularization and application. Foreground effect
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[0023] figure 1 For the realization process of the present invention, the present invention is illustrated below in conjunction with examples.
[0024] 1. In order to verify the effectiveness of the present invention, the air target data used in the experiment comes from the real data collected by a certain type of radar. The track data of four airborne targets including light and small unmanned aerial vehicles (DJI Phantom 4Pro), birds, helicopters, and civil aircraft were collected through radar as training samples, and the true class labels of each target were confirmed through optoelectronic equipment. The characteristics of target track data mainly include: batch number, period, azimuth, distance, elevation angle, time, course, speed, track azimuth, track distance, track elevation angle, predicted azimuth, predicted distance, predicted elevation angle, track quality, track Eighteen feature dimensions, such as trace state, point trace amplitude, and elevation angle qualit...
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