Abstract:

The problem of power resource management of opportunistic digital array radar (ODAR) for multiple targets tracking is studied. For the uncertainty introduced by the complex and volatile environments and the unknown target information, a robust power resource management model of multiple targets based on random and fuzzy chance-constraint programming (CCP) is proposed. Random variables are introduced into the model to denote the total transmitting power and fuzzy variables are introduced to denote the target RCS, and the Bayesian Cramer Rao lower bound (BCRLB) is regarded as measurement criteria of target tracking accuracy. Afterwards, the random simulation and the fuzzy simulation are both embedded into the genetic algorithm (GA), and under the condition that the predetermined confidence level is satisfied, the optimal power allocation is predicted for all the targets minimizing the BCRLB of the next time, then in accordance with the optimal -power- allocation, the unscented Kalman filter (UKF) is used for targets tracking. Finally, the validity and robustness of the proposed algorithm are verified with the simulation results.