首页> 外国专利> Procedure for the estimation of matrices of covariance and coherence in data obtained through multichannel coherent systems. (Machine-translation by Google Translate, not legally binding)

Procedure for the estimation of matrices of covariance and coherence in data obtained through multichannel coherent systems. (Machine-translation by Google Translate, not legally binding)

机译:通过多通道相干系统获得的数据中协方差和相干矩阵估计程序。 (通过Google翻译进行机器翻译,没有法律约束力)

摘要

Procedure for the estimation of covariance matrices and coherence in data obtained through coherent multichannel systems. The object of the present invention is a method for the estimation of covariance and coherence matrices in multi-channel data, obtained by means of multichannel coherent systems. These systems are based on the transmission and reception of electromagnetic waves in a coherent way, that is, they store both the amplitude and the phase of the electromagnetic waves dispersed by the object that is illuminated by the system. Due to the complexity of the dispersion process, the stored data is affected by the speckle noise component. The present invention details a method for filtering the ruddy speckle component in multichannel data, expressed by the covariance or coherence matrices, based on the information of the existing correlation between the different information channels. (Machine-translation by Google Translate, not legally binding)
机译:通过相干多通道系统获得的数据中协方差矩阵和相干估计的过程。发明内容本发明的目的是一种用于估计借助于多通道相干系统获得的多通道数据中的协方差和相干矩阵的方法。这些系统以相干的方式基于电磁波的发送和接收,也就是说,它们存储由系统照明的对象分散的电磁波的振幅和相位。由于分散过程的复杂性,存储的数据受斑点噪声分量的影响。本发明详细描述了一种用于基于不同信息信道之间的现有相关性的信息来过滤由协方差或相干矩阵表示的多信道数据中的红斑斑点成分的方法。 (通过Google翻译进行机器翻译,没有法律约束力)

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