摘要
为了满足实际需求,该文提出一种用于多目标定位的功率分配算法,实现MIMO雷达有限功率的快速优化分配。该文首先给出了多目标定位误差的克拉美罗下界,并将其作为代价函数进行功率分配。而后,设计了一种可应用于多目标定位功率分配的交替全局优化算法,通过搜索Pareto解集来实现功率的快速分配。最后,仿真结果表明,所提的算法能快速实现MIMO雷达有限功率的优化分配,明显提升多目标定位精度。
To meet the need of the real application, this paper proposes a power allocation algorithm for multiple target localization, which tries to get the quick optimal allocation of the limited power resources in the MIMO radar. Firstly, Cram＆#233;r-Rao Lower Bound （CRLB） of the Mean Square Error （MSE） of the multi-target localization is given, and CRLB is used as a cost function to allocate the power resource. Then, an Alternating Global Optimal Algorithm （AGOA） is designed which can be used in power allocation of multi-target localization, the related Pareto sets to achieve the fast allocation of the power resources. Finally, the simulation results show that the AGOA can quickly achieve the optimal allocation of the limited power allocation in MIMO radar, and can significantly enhance the precision of the multiple target localization.
作者
冯涵哲
严俊坤
刘宏伟
FENG Hanzhe YAN Junkun LIU Hongwei(National Laboratory of Radar Signal Processing, Xidian University, Xi＇an 710071, China)
出处
《电子与信息学报》
EI
CSCD
北大核心
2016年第12期3219-3223,共5页
Journal of Electronics & Information Technology
基金
国家自然科学基金(61601340)
国家杰出青年科学基金(61525105)
中国博士后基金(2015M580817
2016T90890)~~
