A Novel Algorithm for Radar Jamming Resource Allocation

Optimal allocation of jamming resources is one of the requirements in the electronic warfare. Following the design and production of a variety of jammers, this question remains that with jamming resource limitations in an electronic battle scene involving a large number of enemy radars, how should these limited resources be allocated and which radars should be assigned to a jammer. In this regard, the present article addresses allocating jamming resources to the enemy's positioning system (consisting of a number of sensors for parameter estimation and the system for integrating the estimated data) and proposes a new algorithm. Maximization of estimation error is the criterion for jamming resource allocation. In the proposed algorithm, receivers whose disruptions severely affect the accuracy of the estimation are chosen as targets. The Cramer-Rao Lower Bound (CRLB) is used as an error measurement in the jamming resource allocation algorithm. When the receivers to be jammed are determined, the uncertainty of the allocation is removed.