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      [1]張偉,王乃新,魏世琳,等.水下無人潛航器集群發展現狀及關鍵技術綜述[J].哈爾濱工程大學學報,2020,41(2):289-297.[doi:10.11990/jheu.201909039]
       ZHANG Wei,WANG Naixin,WEI Shilin,et al.Overview of unmanned underwater vehicle swarm development status and key technologies[J].hebgcdxxb,2020,41(2):289-297.[doi:10.11990/jheu.201909039]
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      水下無人潛航器集群發展現狀及關鍵技術綜述(/HTML)
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      《哈爾濱工程大學學報》[ISSN:1006-6977/CN:61-1281/TN]

      卷:
      41
      期數:
      2020年2期
      頁碼:
      289-297
      欄目:
      出版日期:
      2020-02-05

      文章信息/Info

      Title:
      Overview of unmanned underwater vehicle swarm development status and key technologies
      作者:
      張偉 王乃新 魏世琳 杜雪 嚴浙平
      哈爾濱工程大學 自動化學院, 黑龍江 哈爾濱 150001
      Author(s):
      ZHANG Wei WANG Naixin WEI Shilin DU Xue YAN Zheping
      College of Automation, Harbin Engineering University, Harbin 150001, China
      關鍵詞:
      水下無人潛航器集群集群智能路徑規劃任務規劃編隊控制通信網絡關鍵技術導航定位
      分類號:
      TP23
      DOI:
      10.11990/jheu.201909039
      文獻標志碼:
      A
      摘要:
      隨著水下無人潛航器技術的發展和日漸成熟盛兴娱乐登陆,單一水下無人潛航器已不能滿足需求的發展盛兴娱乐登陆,這就使多水下無人潛航器以集群的形式互相協作執行任務成為了水下無人潛航器發展的必然趨勢。本文從軍事領域和民用領域兩方面介紹了國外主要水下無人潛航器集群項目盛兴娱乐登陆,包括項目設立目標和發展情況盛兴娱乐登陆;分析了水下無人潛航器集群的一些關鍵技術的國內外研究現狀和發展趨勢盛兴娱乐登陆,主要包括集群智能控制盛兴娱乐登陆、通信網絡設計盛兴娱乐登陆、任務規劃、路徑規劃、編隊控制和導航定位等方面;最后對水下無人潛航器集群系統發展做出展望。

      參考文獻/References:

      [1] 陳強. 水下無人航行器[M]. 北京:國防工業出版社, 2014.CHEN Qiang. Unmanned underwater vehicle[M]. Beijing:National Defense Industry Press, 2014.
      [2] CAMAZINE S, DENEUBOURG J L, FRANKS N R, et al. Self-organization in biological systems[M]. Princeton:Princeton University Press, 2001.
      [3] GRUND M, FREITAG L, PREISIG J, et al. The PLUSNet underwater communications system:acoustic telemetry for undersea surveillance[C]//Oceans 2006. Boston, 2006.
      [4] WILLCOX S, GOLDBERG D, VAGANAY J, et al. Multi-vehicle cooperative navigation and autonomy with the bluefin CADRE system[C]//International Federation of Automatic Control Conference (IFAC). Cambridge, 2006.
      [5] SCHMICKL T, THENIUS R, MOSLINGER C, et al. CoCoRo-the self-aware underwater swarm[C]//Proceedings of 2011 Fifth IEEE Conference on Self-adaptive and Self-organizing Systems Workshops. Ann Arbor, 2011:120-126.
      [6] ABREU P, ANTONELLI G, ARRICHIELLO F, et al. Widely scalable mobile underwater sonar technology:An overview of the H2020 WiMUST project[J]. Marine technology society journal, 2016, 50(4):42-53.
      [7] KALWA J. Final results of the European project GREX:coordination and control of cooperating marine robots[J]. IFAC proceedings volumes, 2010, 43(16):181-186.
      [8] RAMP S R, DAVIS R E, LEONARD N E, et al. Preparing to predict:the second Autonomous Ocean Sampling Network (AOSN-II) experiment in the Monterey Bay[J]. Deep sea research part II:topical studies in oceanography, 2009, 56(3/4/5):68-86.
      [9] GLENN S M, SCHOFIELD O M E. The new jersey shelf observing system[C]//OCEANS’02 MTS/IEEE. Biloxi, 2003:1680-1687.
      [10] BIRK A, PASCOAL A, ANTONELLI G, et al. Cooperative Cognitive Control for Autonomous Underwater Vehicles (CO3 AUVs):overview and progresses in the 3rd project year[J]. IFAC proceedings volumes, 2012, 45(5):361-366.
      [11] SCHMIDT H. GOATS’2000 Multi-AUV Cooperative Behavior Multi-scale Environmentsal Assesment. 2001.
      [12] SCHULZ B, HOBSON B, KEMP M, et al. Field results of multi-UUV missions using ranger micro-UUVs[C]//Oceans 2003. Celebrating the Past... Teaming Toward the Future. San Diego, 2003:956-961.
      [13] 嚴浙平, 李鋒, 黃宇峰. 多智能體Q學習在多AUV協調中的應用研究[J]. 應用科技, 2008, 35(1):57-60.YAN Zheping, LI Feng, HUANG Yufeng. Research on application of multi-agent Q-learning algorithm in multi-AUV coordination[J]. Applied science and technology, 2008, 35(1):57-60.
      [14] CAO Xiang, SUN Hongbing, JAN G E. Multi-AUV cooperative target search and tracking in unknown underwater environment[J]. Ocean engineering, 2018, 150:1-11.
      [15] SHOJAEI K. Neural network formation control of underactuated autonomous underwater vehicles with saturating actuators[J]. Neurocomputing, 2016, 194:372-384.
      [16] HUANG Zongrui, ZHU Daqi, SUN Bing. A multi-AUV cooperative hunting method in 3-D underwater environment with obstacle[J]. Engineering applications of artificial intelligence, 2016, 50:192-200.
      [17] BIAN Xinqian, MOU Chunhui, YAN Zheping, et al. Formation coordinated control for multi-AUV based on spatial curve path tracking[C]//OCEANS’11 MTS/IEEE KONA. Waikoloa, 2011:1-6.
      [18] CAO Xiang, HUANG Zongrui, ZHU Daqi. AUV cooperative hunting algorithm based on bio-inspired neural network for path conflict state[C]//Proceedings of 2015 IEEE International Conference on Information and Automation. Lijiang, 2015:1821-1826.
      [19] HUANG Zongrui, ZHU Daqi, SUN Bing. A multi-AUV cooperative hunting method in 3-D underwater environment with obstacle[J]. Engineering applications of artificial intelligence, 2016, 50:192-200.
      [20] 蘇菲, 陳巖, 沈林成. 基于蟻群算法的無人機協同多任務分配[J]. 航空學報, 2008, 29(S1):184-191.SU Fei, CHEN Yan, SHEN Lincheng. UAV cooperative multi-task assignment based on ant colony algorithm[J]. Acta aeronautica et astronautica sinica, 2008, 29(S1):184-191.
      [21] DUAN Haibin, ZHANG Xiangyin, WU Jiang, et al. Max-min adaptive ant colony optimization approach to multi-UAVs coordinated trajectory replanning in dynamic and uncertain environments[J]. Journal of bionic engineering, 2009, 6(2):161-173.
      [22] SUN X, et al. Multi-agent formation control based on artificial force with exponential form[J]. Intelligent control & automation, 2014.
      [23] DUAN Haibin, LUO Qin’an, SHI Yuhui, et al.? Hybrid particle swarm optimization and genetic algorithm for multi-UAV formation reconfiguration[J]. IEEE computational intelligence magazine, 2013, 8(3):16-27.
      [24] 顧國昌, 仲宇, 張汝波. 一種新的多智能體強化學習算法及其在多機器人協作任務中的應用[J]. 機器人, 2003, 25(4):344-348, 362.GU Guochang, ZHONG Yu, ZHANG Rubo. A new multi-agent reinforcement learning algorithm and its application to multi-robot cooperation tasks[J]. Robot, 2003, 25(4):344-348, 362.
      [25] 段勇, 徐心和. 基于多智能體強化學習的多機器人協作策略研究[J]. 系統工程理論與實踐, 2014, 34(5):1305-1310.DUAN Yong, XU Xinhe. Research on multi-robot cooperation strategy based on multi-agent reinforcement learning[J]. Systems engineering——theory & practice, 2014, 34(5):1305-1310.
      [26] LAUER M, RIEDMILLER M A. An algorithm for distributed reinforcement learning in cooperative multi-agent systems[C]//Proceedings of the Seventeenth International Conference on Machine Learning. Stanford, 2000:535-542.
      [27] RASHID T, SAMVELYAN M, SCHROEDER C, et al. QMIX:monotonic value function factorisation for deep multi-agent reinforcement learning[C]//Proceedings of the 35th International Conference on Machine Learning. Sydney, 2018.
      [28] FREDDI A, LONGHI S, MONTERIÙ A. A coordination architecture for UUV fleets[J]. Intelligent service robotics, 2012, 5(2):133-146.
      [29] YAN Zheping, LIU Yibo, ZHOU Jiajia, et al. Consensus of multiple autonomous underwater vehicles with double independent Markovian switching topologies and timevarying delays[J]. Chinese physics B, 2017, 26(4):040203.
      [30] LI Ning, CÜRÜKLÜ B, BASTOS J, et al. A probabilistic and highly efficient topology control algorithm for underwater cooperating AUV networks[J]. Sensors, 2017, 17(5):E1022.
      [31] 嚴浙平, 李磊磊, 趙海彬, 等. 多UUV通信路由協議方法研究[J]. 計算機測量與控制, 2013, 21(6):1594-1596, 1600.YAN Zheping, LI Leilei, ZHAO Haibin, et al. Research on routing protocol of underwater communication for multi-UUV[J]. Computer measurement & control, 2013, 21(6):1594-1596, 1600.
      [32] GAO Zhenyu, GUO Ge. Fixed-time leader-follower formation control of autonomous underwater vehicles with event-triggered intermittent communications[J]. IEEE access, 2018, 6:27902-27911.
      [33] YAN Zheping, XU Da, CHEN Tao, et al. Leader-follower formation control of UUVs with model uncertainties, current disturbances, and unstable communication[J]. Sensors, 2018, 18(2):E662.
      [34] 康小東, 李一平. 基于時延Petri網的多UUV系統的任務分配策略[J]. 儀器儀表學報, 2007, 28(S1):614-617.KANG Xiaodong, LI Yiping. Strategy of task allocation in multiple UUV system based on timed Petri net[J]. Chinese journal of scientific instrument, 2007, 28(S1):614-617.
      [35] TSIOGKAS N, PAPADIMITRIOU G, SAIGOL Z, et al. Efficient multi-AUV cooperation using semantic knowledge representation for underwater archaeology missions[C]//2014 Oceans-St. John’s. St. John’s, 2014:1-6.
      [36] LIANG Hongtao, KANG Fengju. A novel task optimal allocation approach based on Contract Net Protocol for Agent-oriented UUV swarm system modeling[J]. Optik, 2016, 127(8):3928-3933.
      [37] 李娟, 張昆玉. 基于改進合同網算法的異構多AUV協同任務分配[J]. 水下無人系統學報, 2017, 25(6):418-423.LI Juan, ZHANG Kunyu. Heterogeneous Multi-AUV cooperative task allocation based on improved contract net algorithm[J]. Journal of unmanned undersea systems, 2017, 25(6):418-423.
      [38] 馬碩, 馬亞平. 基于分層聚類拍賣的集群UUV多目標分配方法[J]. 艦船科學技術, 2019, 41(5):70-75.MA Shuo, MA Yaping. A hierarchical clustering auction approach for UUVs multi-objects allocation[J]. Ship science and technology, 2019, 41(5):70-75.
      [39] 朱大奇, 李欣, 顏明重. 多自治水下機器人多任務分配的自組織算法[J]. 控制與決策, 2012, 27(8):1201-1205, 1210.ZHU Daqi, LI Xin, YAN Mingzhong. Task assignment algorithm of multi-AUV based on self-organizing map[J]. Control and decision, 2012, 27(8):1201-1205, 1210.
      [40] 李欣, 朱大奇, 徐珂昂. 運動學約束條件下多AUV任務分配算法[J]. 哈爾濱工程大學學報, 2016, 37(12):1638-1644.LI Xin, ZHU Daqi, XU Keang. Task assignment for a multi-AUV system under kinematic constraint[J]. Journal of Harbin Engineering University, 2016, 37(12):1638-1644.
      [41] LI Jianjun, ZHANG Rubo, YANG Yu. Multi-AUV autonomous task planning based on the scroll time domain quantum bee colony optimization algorithm in uncertain environment[J]. PLoS one, 2017, 12(11):e0188291.
      [42] WANG Hongjian, YUAN Jianya, LV hongli, et al. Task allocation and online path planning for AUV swarm cooperation[C]//OCEANS 2017-Aberdeen. Aberdeen, 2017:1-6.
      [43] WU Lian, LI Yiping, LIU Jian. Based on improved bio-inspired model for path planning by multi-AUV[C]//Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology. Tianjin, 2018:128-134.
      [44] ZHUANG Yufei, HUANG Haibin, SHARMA S, et al. Cooperative path planning of multiple autonomous underwater vehicles operating in dynamic ocean environment[J]. ISA transactions, 2019, 94:174-186.
      [45] YU Xue, CHEN Weining, HU Xiaomin, et al. Path planning in multiple-auv systems for difficult target traveling missions:a hybrid metaheuristic approach[J/OL]. IEEE Transactions on Cognitive and Developmental Systems, (2019-10-01). DOI:10.1109/TCDS.2019.2944945.
      [46] 吳小平, 馮正平, 朱繼懋. 基于蟻群算法的多AUV路徑規劃仿真研究[J]. 計算機仿真, 2009, 26(1):150-153.WU Xiaoping, FENG Zhengping, ZHU Jimao. Simulation of path planning of multiple autonomous underwater vehicles (AUVs) based on ant colony algorithm[J]. Computer simulation, 2009, 26(1):150-153.
      [47] LIU Mingyong, XU Baogui, PENG Xingguang. Cooperative path planning for multi-AUV in time-varying ocean flows[J]. Journal of systems engineering and electronics, 2016, 27(3):612-618.
      [48] 嚴浙平, 何靚文, 李娟. 多域限界內多AUV巡邏航路規劃方法[J]. 水下無人系統學報, 2017, 25(3):237-242.YAN Zheping, HE Liangwen, LI Juan. Path planning method for multi-AUVs patrol in restricted Multizone area[J]. Journal of unmanned undersea systems, 2017, 25(3):237-242.
      [49] 朱大奇, 曹翔. 多個水下機器人動態任務分配和路徑規劃的信度自組織算法[J]. 控制理論與應用, 2015, 32(6):762-769.ZHU Daqi, CAO Xiang. An improved self-organizing map method for multiple autonomous underwater vehicle teams in dynamic task assignment and path planning[J]. Control theory & applications, 2015, 32(6):762-769.
      [50] YAN Zheping, LI Yibo, ZHOU jiajia, et al. Moving target following control of multi-AUVs formation based on rigid virtual leader-follower under ocean current[C]//Proceedings of 2015 34th Chinese Control Conference. Hangzhou, 2015:5901-5906.
      [51] 吳小平, 馮正平, 朱繼懋. 多AUV隊形控制的新方法[J]. 艦船科學技術, 2008, 30(2):128-134.WU Xiaoping, FENG Zhengping, ZHU Jimao. A novel method for formation control of multiple autonomous underwater vehicles (AUVs)[J]. Ship science and technology, 2008, 30(2):128-134.
      [52] ROUT R, SUBUDHI B. A backstepping approach for the formation control of multiple autonomous underwater vehicles using a leader-follower strategy[J]. Journal of marine engineering & technology, 2016, 15(1):38-46.
      [53] CUI Rongxin, GE S S, HOW B V E, et al. Leader-follower formation control of underactuated autonomous underwater vehicles[J]. Ocean engineering, 2010, 37(17/18):1491-1502.
      [54] 李娟, 馬濤, 劉建華. 基于領航者的多UUV協調編隊滑?刂芠J]. 哈爾濱工程大學學報, 2018, 39(2):350-357.LI Juan, MA Tao, LIU Jianhua. Multi-UUV coordinated formation sliding mode control based on leader[J]. Journal of Harbin Engineering University, 2018, 39(2):350-357.
      [55] KHATIB O. Real-time obstacle avoidance for manipulators and mobile robots[C]//Proceedings of 1985 IEEE International Conference on Robotics and Automation. St. Louis, 1986:396-404.
      [56] 丁國華, 朱大奇. 多AUV主從式編隊及避障控制方法[J]. 高技術通訊, 2014, 24(5):538-544.DING Guohua, ZHU Daqi. Control of leader-follower formation and obstacle avoidance for Multi-AUV[J]. Chinese high technology letters, 2014, 24(5):538-544.
      [57] 潘無為, 姜大鵬, 龐永杰, 等. 人工勢場和虛擬結構相結合的多水下機器人編隊控制[J]. 兵工學報, 2017, 38(2):326-334.PAN Wuwei, JIANG Dapeng, PANG Yongjie, et al. A multi-AUV formation algorithm combining artificial potential field and virtual structure[J]. Acta armamentarii, 2017, 38(2):326-334.
      [58] YAN Zheping, WU Yi, ZHOU Jiajia. Limited communication consensus control in Multi-UUVs swarm system under switching topologies and time delay[C]//Proceedings of the 37th Chinese Control Conference. Wuhan, 2018:1349-1354.
      [59] 張立川, 許少峰, 劉明雍, 等. 多無人水下航行器協同導航定位研究進展[J]. 高技術通訊, 2016, 26(5):475-482.ZHANG Lichuan,XU Shaofeng, LIU Mingyong, et al. Advances in cooperative navigation and localization for multi-UUV systems[J]. Chinese high technology letters, 2016, 26(5):475-482.
      [60] 徐博, 白金磊, 郝燕玲, 等. 多AUV協同導航問題的研究現狀與進展[J]. 自動化學報, 2015, 41(3):445-461.XU Bo,BAI Jinlei, HAO Yanling, et al. The research status and progress of cooperative navigation for multiple AUVs[J]. Acta automatica sinica, 2015, 41(3):445-461.
      [61] 李聞白, 劉明雍, 張立川, 等. 單領航者相對位移測量的多自主水下航行器協同導航[J]. 兵工學報, 2011, 32(8):1002-1007.LI Wenbai, LIU Mingyong, ZHANG Lichuan, et al. Cooperative navigation for multiple autonamous underwater vehicles based on relative displacement measurement with a single leader[J]. Acta armamentarii, 2011, 32(8):1002-1007.
      [62] 盧健, 徐德民, 張立川, 等. 利用sigma點卡爾曼濾波的多UUV協同定位[J]. 計算機工程與應用, 2011, 47(33):1-6.LU Jian, XU Demin, ZHANG Lichuan, et al. Cooperative localization utilizing sigma-point Kalman filters for UUVs[J]. Computer engineering and applications, 2011, 47(33):1-6.
      [63] 劉明雍, 沈俊元, 張加全, 等. 一種基于無跡卡爾曼濾波的UUV協同定位方法[J]. 魚雷技術, 2011, 19(3):205-208.LIU Mingyong, SHEN Junyuan, ZHANG Jiaquan, et al. A cooperative localization method of UUV based on unscented Kalman filter[J]. Torpedo technology, 2011, 19(3):205-208.
      [64] ANTONELLI G, ARRICHIELLO F, CHIAVERINI S, et al. Observability analysis of relative localization for AUVs based on ranging and depth measurements[C]//Proceedings of 2010 IEEE International Conference on Robotics and Automation. Anchorage, 2010:4276-4281.
      [65] ARRICHIELLO F, ANTONELLI G, AGUIAR A P, et al. Observability metric for the relative localization of AUVs based on range and depth measurements:Theory and experiments[C]//Proceedings of 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. San Francisco, 2011:3166-3171.
      [66] 張立川, 徐德民, 劉明雍. 雙偽測量的多水下航行器移動長基線協同導航算法[J]. 火力與指揮控制, 2013, 38(1):34-36.ZHANG Lichuan, XU Demin, LIU Mingyong. Cooperative navigation method of multiple autonomous underwater vehicles base on double acoustic measurement[J]. Fire control & command control, 2013, 38(1):34-36.
      [67] 劉明雍, 張加全, 張立川. 洋流影響下基于運動矢徑的AUV協同定位方法[J]. 控制與決策, 2011, 26(11):1632-1636.LIU Mingyong, ZHANG Jiaquan, ZHANG Lichuan. AUV cooperative localization method based on motion radius vector in the presence of unknown currents[J]. Control and decision, 2011, 26(11):1632-1636.
      [68] 李聞白, 劉明雍, 雷小康, 等. 未知洋流干擾下基于單領航者的多自主水下航行器協同導航[J]. 兵工學報, 2011, 32(3):292-297.LI Wenbai, LIU Mingyong, LEI Xiaokang,et al. Cooperative navigation for multiple autonomous underwater vehicles with single leader in unknown ocean current[J]. Acta armamentarii, 2011, 32(3):292-297.
      [69] 李聞白, 劉明雍, 李虎雄, 等. 基于單領航者相對位置測量的多AUV協同導航系統定位性能分析[J]. 自動化學報, 2011, 37(6):724-736.LI Wenbai, LIU Mingyong,LI Huxiong, et al. localization performance analysis of cooperative navigation system for multiple AUVs based on relative position measurements with a single leader[J]. Acta automatica sinica, 2011, 37(6):724-736.
      [70] 盧健, 徐德民, 張立川, 等. 基于移動長基線和誤差修正算法的多UUV協同導航[J]. 控制與決策, 2012, 27(7):1052-1056.LU Jian,XU Demin, ZHANG Lichuan, et al. Cooperative navigation based on moving long baselines and error correction algorithm for multiple UUVs[J]. Control and decision, 2012, 27(7):1052-1056.
      [71] 高偉, 楊建, 劉菊, 等. 基于水聲通信延遲的多UUV協同定位算法[J]. 系統工程與電子技術, 2014, 36(3):539-545.GAO Wei, YANG Jian, LIU Ju, et al. Cooperative location of multiple UUVs based on hydro-acoustic communication delay[J]. Systems engineering and electronics, 2014, 36(3):539-545.
      [72] YAN Zheping, WANG Lu, WANG Tongda, et al. Polar cooperative navigation algorithm for multi-unmanned underwater vehicles considering communication delays[J]. Sensors, 2018, 18(4):E1044.
      [73] 劉明雍, 黃博, 蔡挺. 一種基于量測偽距的EKF移動長基線AUV協同導航方法[J]. 魚雷技術, 2012, 20(6):432-436.LIU Mingyong, HUANG Bo, CAI Ting. A cooperative navigation method of EKF moving long baseline for AUV based on pseudo-range measurements[J]. Torpedo technology, 2012, 20(6):432-436.
      [74] 張福斌, 張小龍, 馬朋. 一種考慮時鐘同步問題的多AUV協同定位算法[J]. 魚雷技術, 2013, 21(5):355-359.ZHANG Fubin, ZHANG Xiaolong, MA Peng. An algorithm of multi-AUVs cooperative location considering clock synchronization[J]. Torpedo technology, 2013, 21(5):355-359.
      [75] YANG Aolei, NAEEM W, IRWIN G W, et al. Novel decentralised formation control for unmanned vehicles[C]//Proceedings of 2012 Intelligent Vehicles Symposium. Alcala de Henares, 2012:13-18.
      [76] 高偉, 劉亞龍, 徐博. 基于雙領航者的多AUV協同導航系統可觀測性分析[J]. 系統工程與電子技術, 2013, 35(11):2370-2375.GAO Wei, LIU Yalong, XU Bo. Observability analysis of cooperative navigation system for multiple AUV based on two-leaders[J]. Systems engineering and electronics, 2013, 35(11):2370-2375.
      [77] 高偉, 劉亞龍, 徐博, 等. 基于雙主交替領航的多AUV協同導航方法[J]. 哈爾濱工程大學學報, 2014, 35(6):735-740.GAO Wei, LIU Yalong, XU Bo, et al. Multiple-AUV cooperative navigation based on two-leader alternated navigation[J]. Journal of Harbin Engineering University, 2014, 35(6):735-740.
      [78] 張立川, 王永召, 屈俊琪. 基于等價Fisher信息矩陣的AUV集群網絡導航精度分析[J]. 水下無人系統學報, 2019, 27(3):254-259. ZHANG Lichuan, WANG Yongzhao, QU Junqi. Network navigation accuracy analysis of AUV swarm based on equivalent Fisher information matrix[J]. Journal of unmanned undersea systems, 2019, 27(3):254-259.

      備注/Memo

      備注/Memo:
      收稿日期:2019-09-12。
      基金項目:國家自然科學基金項目(51609046).
      作者簡介:張偉,男,教授,博士生導師;王乃新,男,博士研究生.
      通訊作者:王乃新,E-mail:naixin.wang@hrbeu.edu.cn.
      更新日期/Last Update: 2020-03-24
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