Eigensystem properties of the sampled space correlation matrix
暂无分享,去创建一个
In the recent years, the resolving capability of passive array processing has been greatly improved by the so-called high resolution methods. They are based on the eigenvalue-eigenvector decomposition of the spectral density matrix of the signals received on the sensors. In this paper, we show that the eigensystem of the sampled space correlation matrix has the same asymptotic high resolution properties. We show also that analytical relations exist between the two eigensystems, which allows the computation of the sampled space correlation matrix eigensystem from the eigensystem of the spectral density matrix.
[1] Norman L. Owsley,et al. Dominant mode power spectrum estimation , 1982, ICASSP.
[2] Georges Bienvenu,et al. Adaptivity to background noise spatial coherence for high resolution passive methods , 1980, ICASSP.
[3] Robert M. Gray,et al. On the asymptotic eigenvalue distribution of Toeplitz matrices , 1972, IEEE Trans. Inf. Theory.
[4] Georges Bienvenu. Influence of the spatial coherence of the background noise on high resolution passive methods , 1979, ICASSP.