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A METHOD FOR MOTION CLASSIFICATION USING A PULSED RADAR SYSTEM

机译:一种基于脉冲雷达系统的运动分类方法

摘要

With the present invention, there is provided a method for classification of the motion of a moving target by means of a radar signal received from the target. The method comprises the steps of creating different motion-specific models using Hidden Markov Model for all the motions desired to be classified; obtaining a database which includes the created different motion models; detecting a target by a pulsed radar; determining the range cell of the detected target within a coherent processing interval; storing signals received, at each pulse within a coherent processing interval, from the target within said range cell; finding feature vectors, at a certain frequency, from a continuous signal obtained by processing the stored signals and adding them together; generating a feature vector time series by arranging the found feature vectors in succession; comparing the generated feature vector time series to the Hidden Markov Model-based motion models in the database so as to calculate its probability for each motion model that is present in the database; selecting the motion determined by the motion model with the highest calculated probability as the motion of the target.
机译:利用本发明,提供了一种用于借助于从目标接收的雷达信号对运动目标的运动进行分类的方法。该方法包括以下步骤:使用隐马尔可夫模型为希望分类的所有运动创建不同的运动特定模型。获得包括所创建的不同运动模型的数据库;通过脉冲雷达检测目标;在相干处理间隔内确定检测到的目标的测距单元;存储在相干处理间隔内的每个脉冲处从所述测距单元内的目标接收到的信号;从通过处理存储的信号并将它们相加而获得的连续信号中,以一定的频率查找特征向量;通过相继布置找到的特征向量来生成特征向量时间序列;将生成的特征向量时间序列与数据库中基于隐马尔可夫模型的运动模型进行比较,以计算数据库中存在的每个运动模型的概率;选择由运动模型确定的具有最高计算概率的运动作为目标运动。

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