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The mutual coupling matrix M may contain 36 distinct parameters.

In this method, inverse mutual coupling matrix was not computed.

A novel method is proposed for estimation of the mutual coupling matrix of an antenna array.

The experiments in [6, 7] show that the mutual coupling matrix (MCM) depends on the elevation angle for UCAs.

If one assumes that denotes the mutual coupling matrix (MCM) of the array, the output will be as: (10).

If a priori knowledge on the mutual coupling matrix is available, then its exploitation can be useful in reducing the number of parameters to be estimated, thus, making the estimation procedure simpler.

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Similar(53)

For applying the sparse representation theory successfully, exploiting the special banded symmetric Toeplitz structure of mutual coupling matrices (MCM) in both transmit array and receive array, the unknown MCM in received data can be turned into a diagonal one to eliminate the mutual coupling.

When there is mutual coupling, the matrix (A.5) can be formed and the (A.3) and (A.10) can be written in a similar way (A.14).

Assume thin half-wavelength dipoles, mutual coupling is characterized by an impedance matrix [18, 26, 27]: (27].

Then, the following equation is derived to recover the desired signal in the presence of mutual coupling (Proof in the appendix), notwithstanding to compute the inverse matrix of MC.

Thus, a banded symmetric Toeplitz matrix can be used as a model for the mutual coupling of ULA and URA.

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