PEPT is a radioactive particle tracking method, based on the medical imaging technique of positron emission tomography. PEPT can track the movement of a positron-emitting tracer as it moves within a multiphase fluid. An example application is froth flotation, a mineral separation process which utilises gas bubbles to separate the solid minerals based on hydrophobicity. The dense suspension created in the flotation cell is difficult to characterise internally, because it is opaque and contains fragile bubble structures. The challenges of PEPT for flotation arise from trying to locate a tracer particle in three phase media of varying attenuation and highly dynamic flows with high rates of particle acceleration. These factors lead to higher uncertainty in the 3D position and time measurements of the particle location. This study reviewed the performance of the two most-used location algorithms, namely, the Birmingham and PEPT-ML techniques. The experiment configuration included tracing a tracer stuck on impeller with the frequency being cycled through the range 0.5-25 Hz. The PEPT-ML algorithm outperformed the Birmingham technique for frequencies below 10 Hz while the Birmingham algorithm performed better for higher frequencies. The performance of the PEPT-ML algorithm deteriorated while that of the Birmingham algorithm was constant with an increase in the frequency.