Action Windows with Resource Limits

Abstract

The command algorithm makes resource decisions on the basis of the quality of its location or extrapolation estimates. When resources are expended, they can be distributed in a compact region with a high density. Or they can be distributed across an expanded region. An expanded region not only increases the capture probability but also expends resources at an increased rate. This chapter contrasts the uni-model and multi-model capture regions using the same raw measurement data set. The hybrid algorithm is much more efficient in resource allocation. It employs a confidence index that is used as an enable signal before resources are distributed. Hybrid algorithms improve capture rates with smaller resource demands.