Tracking performance constrained MFR parameter control: applying constraints on prediction accuracy

An efficient multi function radar (MFR) parameter control for single target tracking would minimize the amount of radar resources needed for maintaining the required tracking performance. We have shown that the problem of finding this efficient MFR parameter control can be tackled by formulating it as a constrained minimization problem. The optimal MFR parameter control is subsequently obtained by solving this constrained minimization problem numerically. When introducing this method for tracking performance constrained MFR parameter control, we discussed the case of a requirement on the track accuracy after updating, i.e. the estimation accuracy. In this paper, we discuss the case of a requirement on the prediction accuracy, i.e. the track accuracy before updating. As will be clear, this requires a fundamentally different approach. Simulation results will show that this method indeed allows for a specific prediction accuracy to be maintained. Furthermore, it is shown that with respect to a typical conventional MFR parameter control, a lower amount of radar resources is needed.