聯合跟蹤器 的英文怎麼說

中文拼音 [liángěgēnzōngqì]
聯合跟蹤器 英文
union tracker
  • 聯 : Ⅰ動詞（聯結; 聯合） unite; join Ⅱ名詞（對聯） antithetical couplet
  • 合 : 合量詞（容量單位） ge, a unit of dry measure for grain （=1 decilitre）
  • 跟 : Ⅰ名詞（腳的後部或鞋襪 的後部） heel Ⅱ動詞1 （在後面緊接著行動） follow 2 （指嫁給某人） be marrie...
  • 蹤 : 名詞（腳印; 蹤跡） footprint; track; trace; trail
  • 器 : 名詞1. （器具） implement; utensil; ware 2. （器官） organ 3. （度量; 才能） capacity; talent 4. （姓氏） a surname
  • 聯合 : 1 （聯系使不分散;結合） unite; ally 2 （結合在一起） alliance; union; coalition 3 （共同） joint;...
  • 跟蹤 : follow the tracks of; tail after; following; follow up tracing; track; tracking; trail; lock on; ...
  1. 4 ) based on the above architecture introduced in this thesis, two key parts of the multi - sensor multi - target tracking system of c3i systems, which are data relation and identification, are discussed in details

    4 ）基於本論文構造的框架，深入分析現代c3i數據融合的典型系統? ?多傳感器多目標跟蹤系統中的兩個關鍵環節? ?數據關聯和目標識別的演算法實現。
  2. According to the actual situation and performance requirements, how to impair the influence of the disturb torque and the uncertainty of the system object model and how to improve stabilization and tracking accuracy are the principal difficulties in this paper. to solve these problems, a method by using mutative - plus and high - order compensation is brought forward and design by adopting h mixed sensitivity method in the velocity loop, then the weighting function selection is discussed, and the concrete selection principles are given in details

    根據本系統的實際工作情況和性能指標要求，通過分析指出，如何克服機（艦）載條件下干擾力矩的影響及系統對象模型的不確定性是本系統中提高穩定精度和跟蹤精度要重點解決的問題，針對這一問題，提出了在速率穩定環採用變增益的串聯高階校正設計控制器和利用h _混合靈敏度方法進行控制器設計的方法，詳細討論了加權函數選擇的問題。
  3. This dissertation presented two new methods of robust adaptive track control for a class of mimo strong nonlinear system with external disturbance. one method makes use of taylor approximation principle to linearize the mimo strong nonlinear system at the ideal equilibrium point, meanwhile external disturbance is considered, and then designs two on - line neural network controller respectively, which can dynamically compensate the high order items of taylor series and the control signals at ideal equilibrium point under the drive of state error between linear and nonlinear system. a linear feedback controller obtained by pole assignment and two on - line neural network act on the practical mimo high nonlinear system together, guaranteeing the whole system robust stable and tracking the specified signal ; the other method designs three on - line neural networks for this class of system

    本文對於一類含有外部擾動的多輸入多輸出（ mimo ）強非線性系統，提出了兩種新的魯棒自適應跟蹤控制方法，第一種利用了taylor近似的原理，在考慮了外部擾動的情況下，將mimo強非線性系統在理想平衡點處線性化，分別設計了兩個在線神經網路控制器，在線性和非線性系統之間的狀態誤差驅動下動態補償系統的taylor近似高階項及理想平衡點處的控制信號，滿足極點配置方法的線性反饋控制器和兩個在線神經網路聯合作用於實際的被控mimo強非線性系統，在保證整個系統魯棒穩定性的情況下，能夠跟蹤給定的指令信號；另一種方法是針對這類系統設計了3個在線神經網路，分別實時抵消這類非線性系統中的非線性部分、與控制量耦合的非線性項以及外部擾動，使得受控系統的輸出可以完全跟蹤給定輸入參考信號。
  4. To resolve the question of tracking highly maneuvering targets in clutter with different sensors, the theory of multi - sensor data fusion and algorithm of joint probabilistic data association have been analyzed in depth. in this thesis, with the using of matlab simulating tool, it accomplished the tracking of three maneuvering targets in clutter and completed the algorithm emulation of every phase in multi - target tracking. from the satisfied result of simulation, the validity of target tracking algorithm in whole data fusion system has been proved

    論文針對多雜波環境下的高度機動目標，依據多傳感器數據融合的理論基礎，基於目標跟蹤領域中的概率數據關聯演算法，對於三個機動目標在雜波環境下的軌跡進行跟蹤，並在matlab環境中，完成了多目標融合跟蹤各個階段的演算法模擬，取得了滿意的模擬結果，從而證明了整個系統的數據融合目標跟蹤演算法的有效性。
  5. The topic is from the national " 973 " project " the new principles and methods of high - performance electronic components of digital product design manufacturing ". closely combing with the high - speed high - precision planar parallel position robot developed by the project, we have carried out a deep research on robot control system architecture, time - optimal control algorithm and servo system control algorithm, achieving high - speed and high - precision point to point control and trajectory tracking control

    本課題來源於國家「 973 」計劃項目「高性能電子產品設計製造精微化數字化新原理和新方法」 ，密切結合該項目所開發的高速高精度平面並聯定位機構，對機器人控制系統體系結構、時間最優控制演算法以及伺服系統控制演算法進行了深入的研究，實現了高速度、高精度的點位控制和軌跡跟蹤控制效果。
  6. This paper researches a new method and technique of flight path filtering and interconnection of multi - sensors, and applies the basic theory of data fusion and computer network to the tracking system of close - in anticraft weapon, thereby the frame of networked tracking system of close - in anticraft weapon

    摘要研究多探測器航跡濾波與互聯新技術與新方法，把數據融合的基本理論和計算機網路技術應用於近程防空武器的跟蹤系統中，得到了近程防空武器網路化跟蹤系統的框架。
  7. The detailed parts of the mpda tracker are described in detail. and the demonstrations of main formulas are also given. in particular, how to incorporate the close multipath detections and multiple propagation modes is proposed

    對多徑概率數據關聯（ mpda ）跟蹤器的各個部分進行了詳盡的介紹，並給出關鍵部分的證明過程，其中提出了多徑量測和多個傳播模式進行合併的思想，同時還改正了參考文獻中的錯誤。
  8. The nonlinear problem is inevitable in bearing - only target tracking problem. here the monte carlo based nonlinear filters are compared with the classical extended kalman filter ( ekf ) in this field : the unscented kalman filter ( ukf ), the particle filter ( pf ) and the unscented particle filter ( upf ). furthermore, a multi - sensor passive tracking algorithm, through combining the ukf and probability data association ( pda ), is provided for bearing - only target tracking in dense clutters

    本文將典型的montecarlo非線性濾波器? unscentedkalmanfilter （ ukf ） 、 particlefilter （ pf ）和unscentedparticlefilter （ upf ）應用於被動定位跟蹤，並在二維空間目標跟蹤模擬中與經典的擴展卡爾曼濾波演算法（ ekf ）進行了對比；本文將ukf演算法與概率數據關聯演算法（ pda ）相結合，給出了適用於雜波環境下多站被動式跟蹤的ukfpda演算法。
  9. In this algorithm, the difference between each tracking of different sensor are calculated, and as inputs are sent into the support vector machines to for judging the association between track and track. 3

    把各個傳感器目標航跡狀態估計偏差作為支持向量機輸入，對各個傳感器的目標的狀態估計信息進行分類識別，從而實現多傳感器信息融合多目標跟蹤中的航跡關聯。
  10. Multisensor - multitarget tracking and data associationarethe kernel content of multisensor - multitarget data fusion, which includes two parts : target tracking and data association

    多傳感器多目標跟蹤與數據關聯是多傳感器信息融合理論研究的核心內容，主要包含了數據關聯和目標跟蹤兩部分內容。
  11. In this paper, we describe the study background, meaning and methods of passive acoustic detective network, summarize the basic theories and methods of target tracking and data association, analyze some tipical data association algorithms include the nearest neighbor algorithm ( nn ), probabilistic data association filtering ( pdaf ), joint probabilistic data association filtering ( jpdaf ), multiple hypothesis tracking ( mht ), and multidimensional s - d assignment algorithm. 2. in detective network, sometimes a surveillance region have only single sensor

    從整體上描述了無源聲音探測網路的研究背景、意義、基本框架和研究方法，概述了目標跟蹤與數據關聯的基本理論與方法，重點分析了幾種典型的數據關聯方法，包括最近鄰方法、概率數據關聯濾波器（ pdaf ） 、聯合概率數據關聯濾波器（ jpdaf ） 、多假設跟蹤（ mht ）以及多維s - d分配演算法。
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