kalman filtering system 中文意思是什麼
kalman filtering system
解釋
卡爾曼濾波系統-
Research of concentrative kalman filtering algorithm for integrated navigation system for vehicle
基於車輛組合導航的集中卡爾曼濾波方法研究 -
An extended kalman filtering ( ekf ) algorithm is designed for radiolocation in cellular communication system, simulation is conducted to examine its performance
摘要設計了一種蜂窩系統無線定位中使用的擴展卡爾曼濾波（ ekf ）演算法，對其性能進行了模擬。 -
System error is estimated with kalman filtering algorithm in real - time data processing and post - flight data processing
用kalman濾波演算法以實時數據處理和事後數據處理方式估計系統誤差。 -
Firstly, the mathematical method, wavelet transform of random error processing and kalman filtering algorithm of system error estimation, is designated ; the process of development of wavelet transform and its present research is recommended ; and, the definition and development situation of real - time data processing and post - flight data processing of trajectory measurement data is summarized briefly
首先指出了應用的數學方法，即處理隨機誤差的小波變換方法和估計系統誤差的kalman濾波演算法;介紹了小波變換方法的發展過程和國內外的研究現狀;綜述了彈道測量數據的實時數據處理和事後數據處理的概念和發展狀況。 -
In this paper, the starting parameters of the motor is estimated by kalman filtering arithmetic that is a parameter test mehod that can be considered the running state. base on the basic kalman filtering arthmetic, linearization extended kalman filtering arthmetic that is fit to the motor system that is a non - linear controled system is got
因此本文利用卡爾曼濾波遞推演算法對電機起動時的參數進行估計，該方法是一種結合運行方式的參數測試方法，從基本的卡爾曼濾波遞推演算法出發，推得了適應電機這個非線性控制系統線性化的推廣卡爾曼濾遞推波演算法。 -
Target state estimater ( tse ) is an important and indispensable part of integrated flight and fire control system ( iffcs ). this article takes the ground mobile object as the study model. it established the system state equation and observation equation from the perspective of promoting system accuracy, simplifying the calculation and facilitating the engineering realization, the tse was set up by using the kalman filtering calculation method in the wake of linearizing the observation equation to make it adapt the precondition
目標狀態估計器是綜合飛行/火力控制系統中的一個重要組成環節，本文以地面機動目標為模型，從提高目標估計精度、簡化計算以及便於工程實現為出發點，建立目標的狀態方程及觀測方程，並對其進行線性化，利用自適應卡爾曼濾波演算法構造目標狀態估計器。 -
A new composed kalman filtering method for gps sins integrated navigation system
組合導航系統混合校正卡爾曼濾波方法 -
Then this paper introduced the main method in multi - sensor integrated navigation - kalman filtering method, and a two - level optimization multi - sensor information fusion structure - combined filter which was originated by carlson and kerr, based on the structure of combined filter, it studied the method of navigating by the multi - sensor navigation system integrated by ins milemeter altimeter and piloting, then analyzed the effect of several filters. simulation proved that when altimeter were integrated, the height error was reduced a lot, and the combined filter is more effective than one - level kalman filter
然後，介紹了組合導航中的關鍵技術? ?卡爾曼濾波方法，以及一種二級最優多傳感器融合結構? ? carlson ， kerr等人提出的聯合濾波器，並以聯合濾波器的結構為基礎研究了車載捷聯慣導系統與里程計、氣壓高度計、地標組合導航的方法，比較了幾種組合方法的效果。模擬結果表明，引入氣壓高度計可以有效的減小高度誤差，二級聯合濾波器的效果優於一級結構的卡爾曼濾波器。 -
Compared with kalman filtering, the unknown definite disturbance with finite energy instead of white noise drives the state - space system in h filtering. compared with the time - variant filter and the first - order filter, h filter has preferable robustness
與kalman濾波相比， h _濾波採用未知的具有有限能量的確定性干擾代替白噪聲驅動狀態空間系統；與時變濾波器和一階濾波器相比， h _濾波器具有較強的魯棒性。 -
Because the ins error equation is unstable, some initial states error will cause error floating and error accumulating, if the filter observations were only position error, kalman filter will converge very slowly, and some states error ( such as yaw error ) will be great. since the milemeter altimeter and piloting could only output position information, this paper put forward a method, firstly estimateing states and then kalman filtering, to improve filtering effect. simulation proved that this method could effectively reduce the system states error, quicken filtering convergence and improve filtering precision
由於慣導系統（ lsins ）的誤差方程是發散的，某些初始狀態的誤差會引起誤差的漂移和積累，當觀測量只有位置誤差時，卡爾曼濾波的收斂速度很慢，某些狀態（如方位角）誤差很大，而以上除慣導外的其它導航傳感器直接提供的只是位置信息，為了改善濾波器性能，本文根據里程計等傳感器的特點，提出了首先對狀態做出估計，然後在狀態估計的基礎上，進行卡爾曼濾波的方法。 -
Nowadays integrated navigation system based on kalman filtering theory has efficiently increased the cost performance ratio
目前，基於卡爾曼濾波理論設計的組合導航系統有效提高了導航系統的性能價格比。 -
This thesis introduces the key technique of the us military distributed information system, with focuses on algorithms about related navigation of military tactics. kalman filtering combined with least square method is proposed for the current military development stage. the method of observation result including velocity component minimizes the convergence time, improves the positioning precision and acquired satisfied experiment results, which makes the pla independence of the us high - tech equipments
本文簡要介紹了現階段美軍在戰術信息分佈系統實現中所採用的關鍵技術，重點對戰術飛機相對導航的各種實現演算法進行了深入探討，針對我軍當前在該系統領域中的技術現狀，提出了以最小二乘法輔助卡爾曼濾波，濾波過程中觀測量加入速度分量的方法，縮短了導航濾波起始階段的收斂時間，提高了定位精度，在工程上取得了較理想的實驗數據，在一定程度上擺脫了我軍在相對導航領域對美軍先進技術裝備的依賴。 -
Adopting the kalman filtering aimed by itself means using it to give the best estimate about the platform error angle. using the correction system to the correction between the platform coordinate and navigation coordinate
為解決這一問題，本文將h _濾波引入sins系統的初始對準，設計了具有魯棒性的h _濾波器。 -
This paper presents and probes into several filtering schemes for the deep space explores attitude measurement system composed of star sensors and gyros. under the stellar - inertial modes, two attitude determination algorithms are designed which use the extended kalman filter. one of the algorithms is to linearized the state equation based on the optimal estimation
本文中以星敏感器和光纖陀螺為基本配置組成的深空探測器姿態測量系統為對象，針對星敏感器與光纖陀螺聯合定姿模式和基於星敏感器的定姿模式，對深空探測器的三軸姿態濾波技術方案進行了設計與研究。 -
In this thesis, on the basis of federated kalman filtering theory and aiming at a certain type of airplane equipped with many navigation equipments such as sins, gps, etc., an integrated navigation system with the fault tolerance property is designed. the thesis is stressed to investigate some new theories and methods of fdi in designing the fault tolerance integrated navigation system
本論文以carlson提出的聯邦濾波方法作為理論基礎，針對某型飛機裝備的sins 、 gps等多種導航設備設計了具有容錯性能的聯邦濾波組合導航系統，並且在以往三屆研究生論文的研究工作基礎上，著重研究了組合導航設計中有關故障檢測方面的新理論和新方法。 -
Once one of the subsystems breaks down, all the other subsystems are affected. in this thesis, on the basis of federated kalman filtering theory and aiming at a certain type of airplane equipped with many navigation equipments such as sins, gps, etc., the integrated navigation system with the fault tolerance property is designed
針對上述問題，本論文介紹了容錯組合導航系統的聯邦濾波理論，研究了飛機具有速率偏頻激光捷聯慣導、 gps 、多普勒雷達等非相似導航系統配備條件下，容錯組合導航系統的設計方案及性能。 -
To solve the problem of filtering divergence in the case of low observability and large estimating error to the target ’ s original state in the ssbopls, this thesis presents a two - stage multiple mode extended kalman filtering ( ekf ) algorithm. at the beginning of filtering, system often has large estimating error. in order to efficiently avoid filtering divergence, the algorithm uses a mode - set which contains multiple modes to approach the real target state mode
在估計誤差比較大的濾波初始階段，採用多個模型組成的模型集合加權來逼近目標的真實狀態模型，可以有效地減小濾波的模型誤差，避免濾波的發散;當濾波達到穩態后，改為採用單模型濾波以節省計算量和系統存儲量。
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