Proceedings of IEEE Antennas and Propagation Society International Symposium
DOI: 10.1109/aps.1993.385249
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Eigenvalues of covariance matrix of adaptive array with mutual coupling and two correlated sources present

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Cited by 3 publications
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“…This is due to the fact that closer array elements, and hence high coupling, yield a smaller maximum eigenvalue with approximately the same minimum eigenvalue. This indicates an improvement in the eigenvalue behavior for an array in the presence of coupling even when coherent sources are considered [163]. However, in most of the cases, the compensation of the mutual coupling effects is required to obtain optimal array performance.…”
Section: Advantages Of Mutual Couplingmentioning
confidence: 99%
“…This is due to the fact that closer array elements, and hence high coupling, yield a smaller maximum eigenvalue with approximately the same minimum eigenvalue. This indicates an improvement in the eigenvalue behavior for an array in the presence of coupling even when coherent sources are considered [163]. However, in most of the cases, the compensation of the mutual coupling effects is required to obtain optimal array performance.…”
Section: Advantages Of Mutual Couplingmentioning
confidence: 99%
“…In the above, γ[]0,π2 $\gamma \in \left[0,\frac{\pi }{2}\right]$ denotes the auxiliary polarization angle, η ∈ [ − π , π ] refers to the polarization phase difference, ψ refers to the angle made between the slanted dipole and the unit vector along the direction of propagation, and ◦ denotes element‐wise multiplication. Furthermore, C symbolizes the dipoles' 2 × 2 electromagnetic coupling matrix, which is related to the impedance matrix Z as follows [Gupta and Ksienski (1983), Yang and Ruan (1993), Svantesson (1998), (1999), Al‐Kabi et al. (2006), Huang et al.…”
Section: Application To Direction Findingmentioning
confidence: 99%