  The resource management of a phase array system capable of multiple target
tracking and surveillance is critical for the realization of its full
potential. Present work aims to improve the performance of an existing method,
time-balance scheduling, by establishing an analogy with a well-known
stochastic control problem, the machine replacement problem. With the suggested
policy, the scheduler can adapt to the operational scenario without a
significant sacrifice from the practicality of the time-balance schedulers.
More specifically, the numerical experiments indicate that the schedulers
directed with the suggested policy can successfully trade the unnecessary track
updates, say of non-maneuvering targets, with the updates of targets with
deteriorating tracks, say of rapidly maneuvering targets, yielding an overall
improvement in the tracking performance.
