Abstract
In this paper, a collaborative route optimization and resource management (CRO-RM) strategy is developed for multi-target tracking (MTT) in airborne radar system. The mechanism of the proposed CRO-RM strategy is to collaboratively coordinate the kinematic velocity, heading angle, transmit power, waveform pulselength and bandwidth of the airborne radar, in order to achieve accurate target state estimation while adhering to platform limitations and system resources budget constraints. The analytical expression for the Bayesian Cramér-Rao lower bound (BCRLB) on resources optimization and route planning parameters is derived and utilized as the optimization criterion for the CRO-RM strategy. It is shown that the resulting optimization problem is nonlinear and nonconvex since the above adaptable parameters are coupled in the optimization function and constraints. By exploiting the partition technique and cyclic minimization method, embed with the barrier function method for route planning, the semi-definite programming (SDP) for transmit power allocation and the finite grid search for waveform parameters selection, a partition-based four-step solution method is proposed to tackle the optimization problem effectively. Simulation results demonstrate that the proposed CRO-RM strategy achieves the best MTT performance compared with other benchmarks.
Published Version
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