Robust Resource Allocation for Multitarget Tracking in Multiradar Systems With Parameter Estimation Uncertainty

In the design of resource-aware multitarget tracking (MTT) framework for multi-radar systems (MRSs), the estimated target parameters from the previous frame, such as distance, angle, and reflectivity, are generally utilized as prior information to guide resource scheduling at the current frame. However, achieving perfect estimation of these parameters is impossible in practice. Ignoring such uncertainty can result in unreliable solutions for resource scheduling. To address the uncertainty stemming from target parameter estimation during MTT, this article proposes a robust joint radar-to-target assignment and power allocation (RJRAPA) strategy in MRSs. At its core, the proposed method analyzes the probabilistic uncertainties of target parameters estimation within the confidence region and establishes the parameter uncertainty model.