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Technique of Ultra Wideband Radar Target Discrimination Using Natural Frequencies and Cumulant Preprocessing

机译:基于自然频率和累积量预处理的超宽带雷达目标识别技术

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摘要

A modification of ultra wideband aspect independent radar target discrimination method using fourth-order cumulant preprocessing is introduced. It based on the natural frequencies of the objects. The increasing of the accuracy of parameter estimation can be achieved if the correct choice of one-dimensional slice of 3-D fourth-order cumulant sequence is made. The usage of this technique with signature algorithm leads to the increasing of the true discrimination probability if the space of attributes includes the most informative parameters of the objects. The results of experimental research of the signals scattered by the scaled aircraft models by using the signature algorithm with fourth-order cumulant preprocessing are presented.
机译:介绍了一种基于四阶累积量预处理的超宽带态势独立雷达目标识别方法的改进。它基于对象的固有频率。如果正确选择3-D四阶累积量序列的一维切片,则可以提高参数估计的准确性。如果属性的空间包括对象的最有用的参数,则该技术与签名算法一起使用会导致真实判别概率的增加。提出了采用四阶累积量预处理的签名算法对按比例缩放飞机模型散射的信号进行实验研究的结果。

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