• ESPRIT algorithm based on subspace decomposition is usually used to estimate the direction of arrival (DOA) of source in array signal processing.

    基于子空间分解的ESPRIT算法常用阵列处理中对目标进行DOA估计

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  • The algorithm is based on the subspace decomposition technique. The signal subspace is separates from the noise subspace by making use of the orthogonality between them.

    算法基于空间分解技术利用信号子空间和噪声子空间正交性两者分离。

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  • In this paper, we have discussed root subspace decomposition of linear space, and for the linear space have decomposed direct sum of root subspace, a primary proof is given.

    文章讨论了线性空间根子空间分解对线性空间分解成根子空间的给出了较为初等证明

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  • Combined the fast subspace decomposition method with the wideband incoherent signal subspace method, a fast wideband incoherent signal subspace DOA estimation method is proposed.

    快速空间分解宽带相干信号子空间方法相结合,得到了宽带到达角估计快速方法。

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  • In the channel output, subspace decomposition is employed. If the signal subspace can be exclusively decided by the channel, the parameter of the channel can be estimated by a constant.

    信道输出端进行空间分解如果信号子空间信道唯一决定的,那么信道参数被唯一估计一个常数。

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  • The matrix decomposition method for DOA estimation is analyzed. It is proved that the method is a subspace method.

    本文对用于DOA估计矩阵分解进行了分析,证明种子空间方法。

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  • Focus matrix is constructed by polar decomposition of location matrix and transforms signal subspace at different frequency bins to signal subspace at focusing frequency bin.

    通过方向矩阵进行分解构造聚焦矩阵,各个窄带频率处的信号空间变换聚焦频率处的信号子空间。

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  • Focus matrix is constructed by polar decomposition of location matrix and transforms signal subspace at different frequency bins to signal subspace at focusing frequency bin.

    通过方向矩阵进行分解构造聚焦矩阵,各个窄带频率处的信号空间变换聚焦频率处的信号子空间。

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