在分布式多输入多输出雷达平台下,将发射功率和信号带宽联合优化分配,目的是在资源有限的情况下提高机动目标的跟踪精度.该方法首先推导了机动目标跟踪误差的贝叶斯克拉美罗下界,然后以最小化贝叶斯克拉美罗下界为目标,建立了包含发射功率和带宽两个优化变量的代价函数,并用循环最小化算法结合凸松弛和凸优化进行求解.仿真结果表明,该算法能明显提高机动目标的跟踪精度.
Based on the distributed MIMO radar systems, transmitted power and signal bandwidth are jointly allocated to improve the tracking accuracy for a maneuvering target when the resource is limited. Firstly, the Bayesian Cramer Rao Bound (BCRLB) for the maneuvering target tracking error is deduced. Then, a criterion for minimizing the BCRLB is derived, and the corresponding optimization problem with two independent vectors is solved by the cyclic minimization algorithm together with convex relaxation and convex optimization. Simulations demonstrate that the tracking accuracy is improved by the proposed algorithm.