This review touches on array design, source tracking, efficient search algorithms and environmental calibration for acoustic Matched-Field Processing (MFP). Developments in these areas make practical implementation of MFP less costly and more effective. Investigations on the impact of array design on MFP performance show how sidelobe levels or ambiguity can be reduced by modifying array element placement. Other studies have been used to show how to speed up MFP, including the reduction of the dimensionality of the MFP search space and the application of efficient search algorithms to find the best matches. In work still underway, focalization and inverse MFP are being applied to handle mismatch in environmental parameters.