适用于极地冰架下环境的自主水下机器人的组合导航方法

本发明涉及水下组合导航技术领域，尤其涉及一种自主水下机器人极地冰架下环境的自主水下机器人的组合导航方法组合导航方法，针对极地水下长航程的自主水下机器人长时间航行的累积导航误差消除问题，实现自主水下机器人自主携带声学导航信标，自主水下机器人自主布放声学导航信标，自主标定声学信标布放三维空间位置，最后根据信标标定结果进行单信标组合导航，解决冰下长时间远程自主水下机器人导航位置的累积偏移问题。本发明的重点是解决冰下布放信标的位置标定问题，在信标标定成功后，再根据信标标定位置和单信标测距对冰下自主水下机器人进行导航

Seabed target searching method suitable for autonomous underwater vehicle

本发明涉及水下机器人目标搜索技术领域，尤其涉及一种自主水下机器人的海底目标搜寻方法，本发明通过观测性分析技术实现搜索路径的在线规划，同时利用目标的位置估计反馈校正自主水下机器人累积导航误差，抑制平台对目标位置估计的干扰，实现自主水下机器人对目标位置的精确估计。本方法能够有效地处理水下目标搜索，自主规划搜寻路径，改善系统可观测性；采用自主水下机器人导航位置和目标位置滚动优化策略，抑制自主水下机器人导航累积误差对目标估计的干扰，提高了目标位置搜索精度，具有较强的工程应用价值；本方法移植方便，扩展性强，也适用于无人船、半潜式自主水下机器人等的海底目标搜索应用领域

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies