提出了一种针对异步多基地雷达系统目标跟踪的功率分配算法,目的是合理分配系统有限的功率资源,以提高目标的跟踪精度.引入了一种集中式融合框架下最优的异步目标跟踪算法,并推导了该算法目标跟踪误差的贝叶斯克拉美罗下界.将该下界作为代价函数进行功率分配,并用凸松弛方法结合梯度投影算法对此非凸优化问题进行了求解.仿真实验表明,相对于不进行功率分配的情况,笔者提出的功率分配方法能明显提高目标的跟踪精度.
A power allocation scheme for target tracking in asynchronous multistatic radar systems (MSRS) is proposed. An optimal centralized method for asynchronous target tracking is first introduced with the derivation of the Bayesian Cramer-Rao lower bound (]3CRLB) on the target tracking mean square error (MSE). Then, the BCRLB is utilized as a criterion for the power allocation strategy. The resulting nonconvex optimization problem is solved by the integration of convex relaxation with the gradient projection algorithm. Simulation results demonstrate that equal allocation of the predetermined power budget is not necessarily the best choice and that the tracking accuracy can be greatly improved by the proposed power allocation algorithm.