kalman filter theory 中文意思是什麼
kalman filter theory
解釋
卡爾曼濾波理論-
The temporal effects, when appropriately modeled, can be taken into account by means of the kalman filter theory
此一時間上的相關性經過適當的模式化后，可藉由卡曼濾波器的理論將其納入。 -
La dead reckoning algorithm has been developed based on the doppler velocity log ( dvl ) and fiber optic gyrocompass. 2. since the basic kalman filter will become lapsed, strong tracking filter theory has been inducted, and a new strong adaptive kalman filter algorithm has been developed. further more an adjust gene has been imported, and gets a new arithmetic
針對傳統的卡爾曼濾波演算法中由於噪聲統計特性未知而容易引起的濾波發散的缺點，引入強跟蹤濾波理論，提出了帶次優漸消因子的擴展卡爾曼濾波演算法，並進一步對該演算法進行改善，加入了調整因子，使濾波演算法得到較好的改善。 -
Thirdly, the theory of single radar multi - target tracking ( kalman filter algorithm, dynamic target model, track ' s origination and expiration, the form of tracking - door and association algorithm ) is dicussed, which is turned the basis of multi - radar centralized - system ' s tracking algorithm
對單雷達的多目標跟蹤理論（卡爾曼濾波、機動目標模型、航跡起始與終結、跟蹤門的形成和互聯演算法）進行了系統的研究，以此作為點跡處理之後集中式多雷達系統跟蹤技術的基礎。 -
With the development of modern science and engineering technology, the two theory systems in target tracking filter domain are formed, which are classic wiener filter using frequency domain and modern kalman filter using state space
隨著現代科學技術和工程技術的發展，目標跟蹤理論形成了經典的維納濾波（頻域法）和近代卡爾曼濾波（狀態空間法）的兩大理論體系。 -
The kalman filter theory is introduced and the dynamic error vector equation of the initial alignment is derived at the first. using velocity error as exterior value of observation, maneuverable characteristic that is influenced with system ' s observability and its degree is studied at length by do amount of simulations and experiences. choosing output error of accelerometers and angle error of attitude as observation respectively and system observation model is derived, which is based on analyzing kalman filter theory
首先介紹了卡爾曼濾波理論及相關技術，建立了系統卡爾曼濾波的狀態方程和觀測方程；首先採用速度誤差作為觀測值，詳盡的研究了系統機動特性對可觀測性和可觀測度的影響，並做了大量模擬實驗：通過對濾波原理的分析研究了影響的原因；分別選用加速度計輸出誤差和轉臺輸出姿態角誤差作為外部觀測值，推導建立它們的觀測模型，並通過模擬證明了分析結論的正確性。 -
3. carry out the simulation of the kalman filter based on the gps / magnetometer attitude determination system and the ins / cns / infrared earth sensors attitude determination system. the results show that it can improve attitude determination accuracy by fusion theory
3 .利用聯邦kalman濾波演算法分別對採用gps 、磁強計和採用慣性陀螺、紅外地平儀、星敏感器的兩種衛星姿態確定方案進行了建模和模擬。 -
Based on the information fusion estimation theory, various information fusion structures and their algorithms are summarized, including centralized, decentralized, fusion mode and all - information mode. various kalman filters in the case of correlative infonnation arc summarized, including those with the correlation of measuring noise and system noise, those with colored noise and those in the case of one filter stimulating another. mathematical simulation results, as shown in figures 4. 3 through 4. 5, testify the validity of solving the problem of one filter stimulating another by using the method of prolonging fusion period
基於信息融合估計理論，研究和總結了多傳感器系統中的各種信息融合結構及其演算法，包括集中式、分散式、融合式和全信息融合方式；研究和總結了各種相關信息情況下的kalman濾波，包括量測噪聲與系統噪聲相關時的kalman濾波、有色噪聲條件下的kalman濾波和濾波激勵濾波條件下的kalman濾波。 -
In this dissertation, the nonlinear filter methods are deeply studied on theory and application for the attitude estimation from vector observations of the three - axis stabilized satellite attitude measurement system. furthermore, for the shortages in extended kalman filter, several improved schemes are presented
本文針對基於矢量觀測的三軸穩定對地定向衛星的姿態確定問題，從理論和應用兩個方面對衛星姿態確定的非線性濾波技術作了深入和細致的研究。 -
Use the traditional kalman filter algorithm and optimal linear fusion theory to export the centralized and the decentralized algorithm, then, analyze the strongpoint and the defect of various structures. 2
在經典kalman濾波估計理論的基礎上，利用最優線性融合理論，分別給出了集中式kalman濾波及各種分散式kalman濾波的演算法，並分析了各種演算法的優缺點。
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