Implementing Interval Algebra to schedule mechanically scanned multistatic radars

Resource management improves the performance of multisensor systems through efficient sensor scheduling. An algorithm that utilizes Interval Algebra is presented to schedule multistatic measurements. Interval algebra can capture temporally ordered sequences in a consistent manner. Multistatic measurements result in better tracks of targets being formed for various reasons. The algorithm is not intended to solve the problem of scheduling electronically scanned phased arrays, although using interval algebra may certainly be advantageous. In this paper it is shown how Interval Algebra produces similar performance to a simpler heuristic approach for a scenario utilizing narrow radar beams. The algorithm was not verified against existing resource management techniques. The intention is to present Interval Algebra as an alternative approach to solving the multiple-in multiple-out radar scheduling problem. When considering multiple targets simultaneously in the radar beam, the power of Interval Algebra is revealed. With no changes to Interval Algebra and only minor tweaks to how the constraints are represented, Interval Algebra can utilize this complexity to outperform the heuristic method.