北京航空航天大学学报2026，Vol.52Issue(2)：470-481,12.DOI:10.13700/j.bh.1001-5965.2023.0782
一种面向隐身目标跟踪的雷达组网系统资源优化分配算法
A resource optimization allocation algorithm for radar networked system for stealth target tracking
摘要
Abstract
Resources are typically optimized using the radar cross section(RCS)statistical model in the detection process of conventional collocated multiple-input multiple-output(MIMO)radar networks.However,the RCS of stealth targets changes dynamically,which can lead to the degradation of target tracking accuracy or even target loss.To address this problem,a collocated MIMO radar networked system resource optimization allocation algorithm for stealth target tracking is proposed.Firstly,the target state is estimated using the covariance intersection(CI)fusion filtering algorithm,and the predicted Bayesian Cramér-Rao lower bound(BCRLB)under the CI fusion criterion is derived.After that,the target RCS is predicted based on the property that the target RCS is related to the radar predicted observation angle,and the objective function is consisted of the weighted sum of individual target BCRLB.Consequently,a beam and power optimization algorithm under the RCS predicted model is established.Subsequently,a contribution-based fast solution algorithm is proposed to solve the model.In comparison to the RCS statistical model strategy,simulation results demonstrate that the proposed algorithm can efficiently use the target RCS information to achieve a better resource allocation,which can increase the accuracy of stealth target tracking,under the stealth target RCS dynamically changing scenario.关键词
集中式MIMO雷达组网/预测贝叶斯克拉美罗下界/雷达散射截面预测/快速求解算法/波束及功率分配/多目标跟踪Key words
collocated MIMO radar networking/predicted Bayesian Cramér-Rao lower bound/radar cross section prediction/fast solution algorithm/beam and power allocation/multi-target tracking分类
信息技术与安全科学引用本文复制引用
黄洁瑜,张浩为,谢军伟,李正杰,齐铖,丁梓航..一种面向隐身目标跟踪的雷达组网系统资源优化分配算法[J].北京航空航天大学学报,2026,52(2):470-481,12.基金项目
国家自然科学基金(62001506) National Natural Science Foundation of China(62001506) （62001506）
