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The authors characterize the eigenvalues and eigenvectors of covariance matrices that arise in direction finding scenarios with multiple parameters such as azimuth, elevation and, in some applications, also range (multi-D scenarios). They build upon work by H. Lee (1992) for closely-spaced signals with a single directional parameter (1-D). In multi-D, the limiting (small signal spacing) eigenvalues...
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