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为了在发射功率有限的情况下提高雷达性能，提出了一种用于多站分布式雷达对目标定位时采用的功率分配算法。该文首先给出了多站雷达对目标定位时误差的克拉美罗下界，并将其作为代价函数进行功率优化分配。而后，该文将目前流行的凸松弛算法加以改进，通过对凸松弛参数的自修正减少凸松弛算法引入的额外误差，并逼近最优结果，充分利用有限的多站雷达系统发射资源。最后，仿真结果验证了所提算法的有效性。
In order to improve the radar performance under the limited transmit power, a power allocation algorithm is proposed for multi-station distributed radar target location. In this paper, we first give the Keramide lower bound of the error of multi-station radar to the target location, and use it as a cost function to optimize the power allocation. Then, this paper improves the popular convex relaxation algorithm. By introducing the self-correction of convex relaxation parameters, the extra error introduced by the convex relaxation algorithm is reduced and the optimal results are approximated to make full use of the limited transmission resources of the multi-station radar system. Finally, the simulation results verify the effectiveness of the proposed algorithm.