Phased array radar resource management using continuous double auction

This paper addresses the problem of allocating resource and selecting operational parameters for multiple tasks for an electronically steered phased array radar system. The continuous double auction parameter selection (CDAPS) algorithm is presented, which controls the operational parameters such that a resource constraint is satisfied. The algorithm optimises the complete multiple task parameter selection problem, in contrast to the common approach of optimising the parameter selection for each single task separately. It is shown that CDAPS produces a near-optimal solution for the single resource discrete parameter selection problem. Simulated scenarios verify that this near-optimum solution significantly improves upon conventional rule based methods. The additional desirable characteristics of the CDAPS algorithm: computational efficiency, scalability, and rapid reaction, are also highlighted.