  Radio interferometer arrays with non-homogeneous element patterns are more
difficult to calibrate compared to the more common homogeneous array. In
particular, the non-homogeneity of the patterns has significant implications on
the computational tractability of evaluating the calibration solutions. We
apply the A-stacking technique to this problem and explore the trade-off to be
made between the calibration accuracy and computational complexity. Through
simulations, we show that this technique can be favourably applied in the
context of an SKA-Low station. We show that the minimum accuracy requirements
can be met at a significantly reduced computational cost, and this cost can be
reduced even further if the station calibration timescale is relaxed from 10
minutes to several hours. We demonstrate the impact antenna designs with
differing levels of non-homogeneity have on the overall computational
complexity in addition to some cases where calibration performs poorly.
