Sentence examples for mutual coupling coefficients from inspiring English sources

where c1 and c2 represent the self and mutual coupling coefficients, respectively.

This means that the mutual coupling coefficients, which constitute the non-diagonal elements of C, are completely eliminated.

An ESPRIT-based method is then developed for jointly estimating the azimuth-elevation angles and the mutual coupling coefficients.

An efficient ESPRIT-based method, which does not require any calibration sources or iterative operations, has been developed to jointly estimate the azimuth-elevation angles and the mutual coupling coefficients.

Because of the symmetry of the mutual coupling coefficients and the periodicity of e j 2 π K n - 1 / N, it is easy to find that the diagonal elements of M s is centro-symmetry.

Then, we propose an efficient ESPRIT-based method, which does not require any calibration signals or iterative operations, to jointly estimate the azimuth-elevation angles and the mutual coupling coefficients.

The mutual coupling coefficient used is c=0.1e−jπ/4.

Svantesson [6] showed that the coupling between the neighboring elements with the same interspace is almost the same and the magnitude of the mutual coupling coefficient between two far apart elements is so small that can be approximated to zero.

The second method is based on the condition that the mutual coupling coefficient is known a priori, and the vector cross product estimator is applied to the perfectly calibrated data.

Taking mutual coupling into account, a method was derived for estimation of the coupling coefficient which can accurately estimate the coupling coefficient without any auxiliary sensors.

With the estimation of the coupling coefficient (hat c), we can construct an estimate of the mutual coupling matrix (hat {mathbf {C}}) as begin{array}rcl@ hat{mathbf{C}}~=~left[ begin{array}{ccc} 1 & hat c & hat c hat c & 1 & hat c hat c & hat c & 1 end{array} right] end{array} (35).