Here, a high-precision mutual coupling coefficient estimation method is proposed that is more suitable for adaptive beamforming than traditional algorithms. According to the relationship between the designed transition matrix and the signal, the proposed algorithm selects the transition matrix corresponding to the high-power signal. The high-precision estimation of the mutual coupling coefficient is obtained by using the selected transition matrix estimation, which yields relatively good estimation accuracy for the mutual coupling coefficient when the desired signal-to-noise ratio (SNR) is low and relatively robust adaptive beamforming with unknown mutual coupling. Simulation results demonstrate the validity of the proposed method.
A novel technique for minimization of simultaneous switching noise is presented. Dual
Layer Power Line (DLPL) structure is newly proposed for a possible silicon realization
of a mutual inductor, with which an instant large current in the power line is halfdivided
flowing through two different, but closely coupled, layers in opposite directions.
This mutual inductance between two power layers enables us to significantly minimize
the switching noise. SPICE simulations show that with a mutual coupling coefficient
higher than 0.8, the switching noise reduces by 63% compared to the previously
reported solutions. This DLPL technique can also be applied to PCB artworks.
High-Precision Mutual Coupling Coefficient Estimation for Adaptive Beamforming