西安电子科技大学学报（自然科学版）2018，Vol.45Issue(2)：26-30,140,6.DOI:10.3969/j.issn.1001-2400.2018.02.005
多站雷达功率分配自修正凸松弛算法
Auto-corrected convex relaxation algorithm for power allocation in multi-radar system used as target localization
摘要
Abstract
To improve the radar performance under limited transmit energy,this paper improves a power allocation algorithm for the distributed multi-radar system.First,the Cramér-Rao Lower Bound(CRLB) of the target localization mean square error(MSE) of the distributed multi-radar system is given in this paper, and can be used as a suitable cost function to perform the power resource allocation.Then,in order to be close to the optimal solution,this paper improves the classical convex relaxation methods.We make full use of the limited resources multi-radar system to approximate the optimal result by the auto-correct convex-relaxation parameter to reduce the extra error caused by the convex relaxation process.Finally,simulation results prove that the proposed algorithm is effective.关键词
多站分布式雷达系统/克拉美罗下界/自修正凸松弛算法/凸松弛参数/功率分配Key words
distributed multi-radar system/Cramér-Rao low bound/auto-corrected convex relaxation algorithm/convex-relaxation parameter/power allocation分类
信息技术与安全科学引用本文复制引用
冯涵哲,严俊坤,刘宏伟..多站雷达功率分配自修正凸松弛算法[J].西安电子科技大学学报（自然科学版）,2018,45(2):26-30,140,6.基金项目
国家自然科学基金资助项目(61601340) （61601340）
国家杰出青年科学基金资助项目(61525105) （61525105）
中国博士后基金资助项目(2015M580817,2016T90890) （2015M580817,2016T90890）
陕西省自然科学基础研究计划资助项目(2016JQ6048) （2016JQ6048）
上海航天科技创新基金资助项目(SAST2015009) （SAST2015009）
