| 290 | 2 | 5 |
| Downloads | Citas | Reads |
针对组网雷达同时执行目标搜索与多目标跟踪任务的场景，提出了一种面向目标搜索与跟踪的组网雷达功率时间联合优化分配算法。推导了对重点观测区域内目标的检测概率作为目标搜索性能，并推导预测贝叶斯克拉美-罗下界（Bayesian Cramér-Rao Lower Bound,BCRLB）作为多目标跟踪性能的衡量指标。以同时满足给定的目标搜索和多目标跟踪性能要求及有限的射频资源为约束条件，建立了面向目标搜索与跟踪的组网雷达功率时间联合优化分配数学模型，通过联合优化雷达节点选择方式、辐射功率和驻留时间分配，最小化组网雷达的总射频辐射消耗。在此基础上，提出了一种基于内点法和循环最小法的两步求解算法对以上优化问题进行求解。仿真结果表明，与现有算法相比，所提算法能够在满足预先设定的目标搜索和多目标跟踪性能要求的条件下，消耗最少的射频辐射资源，有效提升组网雷达的射频隐身性能。
Abstract：A cooperative transmit power and dwell time allocation strategy is put forward for search and track applications in radar network. The detection probability and the predicted Bayesian Cramér-Rao lower bound(BCRLB) are derived as the metric for searching and tracking performance respectively, which are both concerned as constraints in the optimization model. A strategy is proposed to minimize the total resource consumption for searching and multi-target tracking tasks by optimizing radar node selection, transmit power and dwell time allocation of multiple radar nodes cooperatively, while satisfying the given search and track requirements and several resource budgets. Subsequently, a two-step solution algorithm based on the interior point method and cyclic minimization framework is proposed to tackle the underlying optimization problem.Simulation results show that, when compared with other existing algorithms, the proposed strategy consumes the least resource while ensuring the specified search and track performance demands, which enhances the radio frequency stealth performance.
[1]丁建江.雷达组网技术[M].北京：国防工业出版社，2017.
[2]时晨光.机载雷达组网射频隐身技术[M].北京：国防工业出版社，2018.
[3] Andrea D M.现代电子战系统导论[M].北京：电子工业出版社，2020.
[4] Pulkkinen P,Aittom?ki T,Koivunen V. Reinforcement learning based transmitter-receiver selection for distributed MIMO radars[C]. 2020 IEEE International Radar Conference,Washington,DC,USA,2020.
[5]刘宏伟，严俊坤，周生华.网络化雷达协同探测技术[J].现代雷达，2020,42(12):7-12.
[6]蒋歆玥.基于网络代价的雷达组网系统多目标跟踪资源管控技术[D].成都：电子科技大学，2020.
[7] Shi C G, Wang Y J, Salous S, et al. Joint transmit resource management and waveform selection strategy for target tracking in distributed phased array radar network[J]. IEEE Transactions on Aerospace and Electronic Systems,2021.
[8] Shi C G,Wang Y J,Wang F,et al. Joint optimization scheme for subcarrier selection and power allocation in multicarrier dual-function radar-communication system[J]. IEEE Systems Journal,2021,15(1):947-958.
[9]刘宏强，魏贤智，李飞，等.基于射频隐身的雷达跟踪状态下单次辐射能量实时控制方法[J].电子学报，2015,43(10):2047-2052.
[10]时晨光，董璟，周建江，等.飞行器射频隐身技术研究综述[J].系统工程与电子技术，2021,43(6):1452-1467.
[11] Lu X J,Xu Z C,Ren H W,et al. LPI-based resource allocation strategy for target tracking in the moving airborne radar network[J]. 2022 IEEE Radar Conference,New York,USA,2022.
[12] Bogdanovi?N, Driessen H, Yarovoy A G. Target selection for tracking in multifunction radar networks:Nash and correlated equilibria[J]. IEEE Transactions on Aerospace and Electronic Systems, 2018, 54(5):2448-2462.
[13] Li X T, Zhang T X, Yi W, et al. Radar selection based on the measurement information and the measurement compensation for target tracking in radar network[J]. IEEE Sensors Journal, 2019, 19(18):7923-7935.
[14] Shi C G,Ding L T,Wang F,et al. Low probability of intercept-based collaborative power and bandwidth allocation strategy for multi-target tracking in distributed radar network system[J]. IEEE Sensors Journal,2020,20(12):6367-6377.
[15]时晨光，丁琳涛，汪飞，等.面向射频隐身的组网雷达多目标跟踪下射频辐射资源优化分配算法[J].电子与信息学报，2021,43(3):539-546.
[16] Shi Y C, Jiu B, Yan J K, et al. Data-driven radar selection and power allocation method for target tracking in multiple radar system[J]. IEEE Sensors Journal,2021,21(17):19296-19306.
[17] Zhang H W, Xie J W, Ge J A, et al. Finite sensor selection algorithm in distributed MIMO radar for joint target tracking and detection[J]. Journal of Systems Engineering and Electronics,2020,31(2):290-302.
[18] Yan J K,Pu W Q,Dai J H,et al. Resource allocation for search and track application in phased array radar based on pareto bi-objective optimization[J]. IEEE Transactions on Vehicular Technology,2019,68(4):3487-3499.
[19]陈宏达.相控阵雷达搜索工作方式的研究[J].系统工程与电子技术，1992(7):1-7.
[20]王祥丽，易伟，孔令讲.基于多目标跟踪的相控阵雷达波束和驻留时间联合分配方法[J].雷达学报，2017,6(6):602-610.
[21] Shi C G,Ding L T,Qiu W,et al. Joint optimization of target assignment and resource allocation for multi-target tracking in phased array radar network[C]. 2020 IEEE Radar Conference,Florence,Italy,2020.
[22] Yan J K, Dai J H, Pu W Q, et al. Target capacity based resource optimization for multiple target tracking in radar network[J]. IEEE Transactions on Signal Processing,2021,69:2410-2421.
[23] Xie M C, Yi W, Kirubarajan T, et al. Joint node selection and power allocation strategy for multitarget tracking in decentralized radar networks[J]. IEEE Transactions on Signal Processing, 2018, 66(3):729-743.
Basic Information:
DOI：10.16358/j.issn.1009-1300.20220173
China Classification Code:TN958
Citation Information:
[1]石兆,时晨光,周建江.面向目标搜索与跟踪的组网雷达功率时间联合优化分配算法[J].战术导弹技术,2022,No.215(05):12-23.DOI:10.16358/j.issn.1009-1300.20220173.
Fund Information:
国家自然科学基金（61801212）; 装备预研重点实验室基金（6142401200402）; 江苏省自然科学基金（BK20180423）; 国防科技创新特区资助; 航空自然科学基金（20200020052005,20200020052002）