Journal ArticleDOI
Micromotion dynamics and geometrical shape parameters estimation of exoatmospheric infrared targets
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In this paper, the authors explored a way of jointly estimating micromotion dynamics and geometrical shape parameters from the IR signals of targets in remote detection distance, and they found that the dynamic properties of the target would induce a periodic fluctuating variation on the IR irradiance intensity signature.Abstract:
The micromotion dynamics and geometrical shape are considered to be essential characteristics for exoatmospheric targets discrimination. Many methods have been investigated to retrieve the micromotion features using radar signals returned from targets of a given shape. We explore a way of jointly estimating micromotion dynamics and geometrical shape parameters from the infrared (IR) signals of targets in remote detection distance. It is found that the micromotion dynamics of the target would induce a periodic fluctuating variation on the IR irradiance intensity signature. In addition to the micromotion characteristics, the fluctuation could also reflect target structure properties, which offer a possible clue in extracting the features of micromotion dynamics and geometrical shape. Thus, the data model of target IR irradiance intensity signatures induced by micromotion patterns including spinning, coning, and tumbling is developed, and a method of parameters estimation based on joint optimization analysis techniques is proposed. Experimental results demonstrated that the parameters of target micromotion dynamics and geometrical shape can be effectively estimated using the proposed method, if the input signature contains multiple dominant frequency components.read more
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Modeling and analysis of infrared radiation dynamic characteristics for space micromotion target recognition
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Recurrent neural networks for discrimination of exo-atmospheric targets based on infrared radiation signature
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