Performance of the Large-Scale Adaptive Array Antennas in the Presence of Mutual Coupling

In this paper, the performance of the large-scale adaptive array antennas in the presence of mutual coupling is explored. An expression for the output signal-to-interference-noise ratio (SINR) of the adaptive array in the presence of strong interference signals, taking into account the mutual coupling between the array elements, is derived. A low-complexity antenna selection algorithm is then proposed to select the optimal subset until the suitable performance is obtained with condition that the spacing between adjacent two antennas is fixed. The combined effect of reducing the distance between the antenna elements with increasing the number of elements in a very limited physical space is also investigated. The antenna array consisting of dipole antennas placed side by side in a linear pattern is assumed. The convergence speed of the adaptive algorithm by bounding and estimating the eigenvalues of its signal covariance matrix in the presence of the mutual coupling is further evaluated. Some novel theoretical study which may be very valuable for the actual deployment of the large-scale adaptive array antennas is made in comparison with previous studies. The theoretical analysis and simulation results show somewhat surprising results showing how the interelement spacing and the number of receiver antennas affect the performance of the large-scale adaptive array antennas with mutual coupling.