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2021, 06, No.210 38-46
Power Allocation Method for Netted Radar Based on Stackelberg Game
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DOI: 10.16358/j.issn.1009-1300.2021.1.114
摘要:

针对组网雷达系统资源利用率低的问题,提出一种基于Stackelberg博弈的功率分配方法。首先,在目标跟踪背景下推导了目标状态估计的费雪信息矩阵行列式,并将其作为跟踪精度的衡量指标。然后,将功率分配问题描述为包含两级博弈的Stackelberg博弈模型,以最小化功率消耗为目标建立领导者子博弈,以最优跟踪精度为目标建立跟随者子博弈。最后,利用障碍函数法对该模型进行求解。仿真结果表明,与其他分配算法相比,该方法在满足跟踪性能需求的前提下减小了总功率的消耗,同时提高了系统的资源利用率。

Abstract:

Aiming at the problem of low resource utilization of netted radar system, a power allocation method based on Stackelberg game is proposed. Firstly, in the background of target tracking, the determinant of Fisher information matrix(FIM) of target state estimation is derived. It is used as a measure of tracking accuracy. Then, the power allocation problem is described as a Stackelberg game model including two-level game. The leader sub game is established with the goal of minimizing power consumption. The follower sub game is established with the goal of maximizing tracking accuracy. Finally, the obstacle function method is used to solve the two-level game model. Simulation results show that compared with other allocation algorithms, this method not only meets the tracking performance requirements, but also reduces the total power consumption,at the mean time,the resource utilization of the system is improved.

References

[1]严俊坤.认知雷达中的资源分配算法研究[D].西安:西安电子科技大学,2015.

[2] Geng Z. Evolution of netted radar systems[J]. IEEE Access,2020,8:124961-124977.

[3] Li Z,Su H,Zhou S,et al. Signal fusion based targets detection in the presence of clutter and subspace interference for multiple-input-multiple-out put radar[J]. IET Radar,Sonar&Navigation,2019,13(1):148-155.

[4] Du Y, Liao K, Ouyang S, et al. Time and aperture resource allocation strategy for multitarget ISAR imaging in a radar network[J]. IEEE Sensors Journal,2020,20(6):3196-3206.

[5]谢明池.分布式组网雷达资源自适应管控算法研究[D].成都:电子科技大学,2019.

[6] Godrich H, Haimovich A M, Blum R S. Target localization accuracy gain in MIMO radar based system[J]. IEEE Transactions on Information Theory, 2010,56(6):2783-2803.

[7]严俊坤,陈林,刘宏伟,等.基于机会约束的MIMO雷达多波束稳健功率分配算法[J].电子学报,2019,47(6):1230-1235.

[8] Godrich H, Petropulu A, Poor H V. A combinatorial optimization framework for subset selection in distributed multiple-radar architecture[C]. Proceeding of Acoustics,Speech and Signal Processing,Piscataway,NJ,USA,2011,2796-2799.

[9] Zhang H,Liu W,Xie J,et al. Joint subarray selection and power allocation for cognitive target tracking in large-scale MIMO radar networks[J]. IEEE Systems Journal,2020,14(2):2569-2580.

[10] Tian T,Zhang T,Kong L. Timeliness constrained task scheduling for multifunction radar network[J]. IEEE Sensors Journal,2019,19(2):525-534.

[11] Li X,Zhang T,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.

[12] Yan J, Pu W, Dai J, 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.

[13] Tohidi E, Coutino M, Chepuri S P, et al. Sparse antenna and pulse placement for collocated MIMO radar[J]. IEEE Transactions on Signal Processing,2019,67(3):579-593.

[14] Liu X, Zhang Q, Chen Y, et al. Task allocation optimization for multi-target ISAR imaging in radar network[J]. IEEE Sensors Journal, 2018, 18(1):122-132.

[15]严俊坤,纠博,刘宏伟,等.一种针对多目标跟踪的多基雷达系统聚类与功率联合分配算法[J].电子与信息学报,2013,35(8):1875-1881.

[16]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.

[17] Deligiannis A, Panoui A, Lambotharan S, et al.Game-theoretic power allocation and the Nash equilibrium analysis for a multistatic MIMO radar network[J]. IEEE Transactions Signal Process, 2017,65(24):6397-6408.

[18] Zhang X,Ma H,Wang J,et al. Game theory design for deceptive jamming suppression in polarization MIMO radar[J]. IEEE Access,2019,(7):114191-114202.

[19] Gao B, Shi L. Modeling an attack-mitigation dynamic game-theoretic scheme for security vulnerability analysis in a cyber-physical power system[J]. IEEE Access,2020,(8):30322-30331.

[20] Bacci G,Sanguinetti L,Luise M. Understanding game theory via wireless power control[J]. IEEE Signal Processing Magazine,2015,32(4):132-137.

[21] Koskie S, Gajic Z. A Nash game algorithm for SIRbased power control in 3G wireless CDMA networks[J].IEEE/ACM Transactions on Networking, 2005, 13(5):1017-1026.

[22] Minchael M, Eilon S, Shmuel Z. Game theory[M].Cambridge:Cambridge University Press,2013.

[23] Shapley L S. Cores of convex games[J]. International Journal of Game Theory,1971,1:11-26.

[24] Myerson R B. Conference structures and fair allocation rules[J]. International Journal of Game Theory,1980,9:169-182.

[25] Zhang X,Ma H,Wang J,et al. Game theory design for deceptive jamming suppression in polarization MIMO radar[J]. IEEE Access, 2019,7:114191-114202.

[26] Khmelnitskaya A, Selquk O, Talman D. The Shapley value for directed graph games[J]. Operations Research Letters,2016,44:143-147.

[27] Myerson R B. Graphs and cooperation in games[J].Mathematics of Operations Research, 1977, 2(3):225-229.

[28] Chalkiadakis G,Elkind E,Wooldridge M. Cooperative game theory:basic concepts and computational challenges[J]. IEEE Intelligent Systems, 2012, 27(3):86-90.

[29] Bacci G,Sanguinetti L,Luise M. Understanding game theory via wireless power control[J]. IEEE Signal Processing Magazine,2015,32(4):132-137.

[30] Chen H, Ta S, Sun B. Cooperative game approach to power allocation for target tracking in distributed MIMO radar sensor networks[J]. IEEE Sensors Journal,2015,15(10):5423-5432.

[31]冉晓旻,方德亮.基于势博弈的分布式目标跟踪传感器分配算法[J].电子与信息学报,2017,39(11):2748-2754.

[32] Shi C,Wang F,Sellathurai M,et al. Noncooperative game-theoretic distributed power control technique for radar network based on low probability of intercept[J].IET Signal Processing,2018,12(8):983-991.

[33] Shi C,Salous S,Wang F,et al. Power allocation for target detection in radar networks based on low probability of intercept:a cooperative game theoretical strategy[J]. Radio Science, 2017, 52(8):1030-1045.

[34]戴金辉,严俊坤,王鹏辉,等.基于目标容量的网络化雷达功率分配方案[J/OL].电子与信息学报:1-7[2021-07-13]. http://kns.cnki.net/kcms/detail/11.4494.TN.20210112.1334.010.html.

[35] Maharjan S, Zhu Q, Zhang Y, et al. Dependable demand response management in the smart grid:a Stackelberg game approach[J]. IEEE Transactions on Smart Grid,2013,4(1):120-132.

[36]时晨光,丁琳涛,周建江.基于Stackelberg博弈的有人机/无人机混合集群辐射功率控制算法[J].无人系统技术,2020,3(4):29-41.

[37] Zhu K, Hossain E, Anpalagan A. Downlink power control in two-tier cellular OFDMA networks under uncertainties:a robust Stackelberg game[J]. IEEE Transactions on Communications, 2015, 63(2):520-535.

[38] Godrich H,Petropulu A P,Poor H V. Power allocation strategies for target localization in distributed multipleradar architectures[J]. IEEE Transactions on Signal Processing,2011,59(7):3226-3240.

Basic Information:

DOI:10.16358/j.issn.1009-1300.2021.1.114

China Classification Code:TN95;O225

Citation Information:

[1]邝晓飞,彭宇,靳标,等.基于Stackelberg博弈的组网雷达功率分配方法[J].战术导弹技术,2021,No.210(06):38-46.DOI:10.16358/j.issn.1009-1300.2021.1.114.

Fund Information:

国家自然科学基金(61701416;61871203;62001194)

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