[1] MCLNTYRE G A, HINTZ K J. Sensor measurement scheduling an enhanced dynamic preemptive algorithm[J]. Optical Engineering, 1998, 37(2):517-523.
[2] 刘先省,申石磊,潘泉, 等. 基于信息熵的一种传感器管理算法[J]. 电子学报, 2000(9):39-41. LIU X X, SHEN S L, PAN Q, et al. A sensor management algorithm based on information entropy[J]. Journal of Electronic Science, 2000(9):39-41 (in Chinese).
[3] KALANDROS M, PAO L Y. Covariance control for multi-sensor systems[J]. IEEE Transactions on Aerospace and Electronic Systems, 2002, 38(4):1138-1157.
[4] 周文辉,胡卫东,余安喜, 等. 基于协方差控制的集中式传感器分配算法研究[J]. 电子学报, 2003, 31(12A):2158-2162. ZHOU W H, HU W D, YU A X, et al. Research on centralized sensor allocation algorithm based on covariance control[J]. Journal of Electronic Science, 2003, 31(12A):2158-2162 (in Chinese).
[5] HERNANDEZ M L, KIRUBARAJAN T, BRASHALOM Y. Multi-sensor resource deployment using posterior Cramer-Rao bounds[J]. IEEE Transactions on Aerospace Electronic Systems, 2004, 40(2):399-416.
[6] 胡卫东, 郁文贤, 卢建斌, 等.相控阵雷达资源管理的理论与方法[M]. 北京:国防工业出版社, 2010:142-185. HU W D, YU W X, LU J B, et al. Theory and method of phased array radar resource management[M]. Beijing:National Defense Industry Press, 2010:142-185 (in Chinese).
[7] 卢建斌, 胡卫东, 郁文贤. 基于协方差控制的相控阵雷达资源管理算法[J]. 电子学报, 2007, 35(3):402-408. LU J B, HU W D, YU W X. Phased array radar resource management algorithm based on covariance control[J]. Journal of Electronic Science, 2007, 35(3):402-408 (in Chinese).
[8] ZHANG H W, XIE J W, SHI J P, et al. Joint beam and waveform selection for the MIMO radar target tracking[J]. Signal Processing, 2018, 156:31-40.
[9] 卢建斌,肖慧,席泽敏, 等. 相控阵雷达波束波形联合自适应调度算法[J]. 系统工程与电子技术, 2011, 33(1):84-88. LU J B, XIAO H, XI Z M, et al. Phased array radar beam and waveform combined adaptive scheduling algorithm[J]. Systems Engineering and Electronic Technology, 2011, 33(1):84-88 (in Chinese).
[10] CHENG T, LI S Y, ZHANG J. Adaptive resource management in multiple targets tracking for co-located multiple input multiple output radar[J]. IET Radar Sonar Navigation, 2018, 12(9):1038-1045.
[11] 张贞凯, 汪飞, 周建江, 等. 多目标跟踪中自适应时间资源调度[J]. 航空学报, 2011, 32(3):522-530. ZHANG Z K, WANG F, ZHOU J J, et al. Adaptive time resource scheduling in multi objective tracking[J]. Acta Aeronautica et Astronautica Sinica, 2011, 32(3):522-530 (in Chinese).
[12] 喻晨龙, 李凡, 谭贤四, 等. 基于TAS模式的多目标跟踪波束调度策略[J]. 系统工程与电子技术, 2017, 39(7):1445-1450. YU C L, LI F, TAN X S, et al. Multi-target tracking beam scheduling strategy based on TAS mode[J]. Systems Engineering and Electronic Technology, 2017, 39(7):1445-1450 (in Chinese).
[13] YAN J K, LIU H W, JIU B, et al. Simultaneous multibeam resource allocation scheme for multiple target tracking[J]. IEEE Transactions on Signal Processing, 2015, 63(12):3110-3122.
[14] YAN J K, LIU H W, PU W Q, et al. Joint beam selection and power allocation for multiple target tracking in netted colocated MIMO radar system[J]. IEEE Transactions on Signal Processing, 2016, 64(24):6417-6427.
[15] XIE M C, YI W, KINBARAJAN 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.
[16] 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. WANG X L, YI W, KONG L J. Phased array radar beam and dwell time joint allocation method based on multi-target tracking[J]. Journal of Radar, 2017, 6(6):602-610 (in Chinese).
[17] WANG X L, YI W, XIE M C, et al. Time management for target tracking based on the predicted Bayesian Cramer-Rao lower bound in phase array radar system[C]//20th International Conference on Information Fusion. Piscataway, NJ:IEEE Press, 2017:1-5.
[18] XIAO J M, LIU W R, HE Y, et al. Energy-efficient sensor scheduling scheme for target tracking in wireless sensor networks[C]//26th Chinese Control and Decision Conference. Piscataway, NJ:IEEE Press, 2014:1869-1874.
[19] ZHOU L, TANG H, LI H Z, et al. Dynamic power management strategies for a sensor node optimised by reinforcement learning[J]. International Journal of Computational Science and Engineering, 2016, 13(1):24-36.
[20] LI Y Z, ZHANG F, QUEVEDO D E, et al. Power control of an energy harvesting sensor for remote state estimation[J]. IEEE Transactions on Automatic Control, 2017, 62(1):277-290.
[21] ZHANG F, JING T, HUO Y, et al. Joint spectrum access and transmission power management for energy harvesting cognitive radio sensor networks[J]. International Journal of Sensor Networks, 2018, 27(2):103-115.
[22] 秦童, 戴奉周, 刘宏伟, 等. 火控相控阵雷达的时间资源管理算法[J]. 系统工程与电子技术, 2016, 38(3):545-550. QIN T, DAI F Z, LIU H W. Time resource management algorithm for fire control phased array radar[J]. Systems Engineering and Electronic Technology, 2016, 38(3):545-550 (in Chinese).
[23] ZHANG Z K, TIAN Y B. A novel resource scheduling method of netted radars based on Markov decision process during target tracking in clutter[J]. EURASIP Journal on Advances in Signal Processing, 2016, 16:1-9.
[24] CAYIR O, CANDAN C. Performance improvement of time-balance radar schedulers through decision policies[J]. IEEE Transactions on Aerospace and Electronic Systems, 2018, 54(4):1679-1691.
[25] HAUG A J. Bayesian estimation and tracking a practical guide[M]. Hoboken:John Wiley & Sons, Inc., 2012:145-165.
[26] LIU Z G, WANG J K, XUE Y B. PCRLB-based sensor selection for maneuvering target tracking in range-based sensor networks[J]. Future Generation Computer Systems, 2013, 29(7):1751-1757.
[27] 张浩为, 谢军伟, 张昭建, 等. 基于混合遗传-粒子群算法的相控阵雷达调度方法[J]. 系统工程与电子技术, 2017, 39(9):1985-1991. ZHANG H W, XIE J W, ZHANG Z J. Phased array radar scheduling method based on hybrid genetic-particle swarm optimization[J]. Systems Engineering and Electronic Technology, 2017, 39(9):1985-1991 (in Chinese).
[28] JIANG H Q, ZHANG Y R, XU H Y. Optimal allocation of cooperative jamming resource based on hybrid quantum-behaved particle swarm optimisation and genetic algorithm[J]. IET Radar, Sonar & Navigation, 2017, 11(1):185-192.
[29] ZHU M X, LI J C, CHANG D G, et al. Optimization of antenna array deployment for partial discharge localization in substations by hybrid particle swarm optimization and genetic algorithm method[J]. Energies, 2018, 11(7):1-18.