extended kalman filter 中文意思是什麼

extended kalman filter 解釋
擴充卡爾曼濾波器
  • extended : adj. 1. 伸開的，展開的。2. 延長的，繼續的。3. （勢力）擴大的；擴張的；（意思）引伸的。4. 【印刷】（鉛字）寬體的。
  • kalman : 卡爾曼
  • filter : n 1 濾器，濾紙，過濾用料[砂、炭等]。2 【無線電】濾波器；【物理學】濾光鏡，濾色器。vt 過濾，用過濾...
  1. Because it is impossible to adjust the air bearing absolutely balance, the difference between mass center and rotation center must lead to a notable gravity disturbance torque. in the process of identification, modeling and identification of gravity disturbance torque is considered, and an extended kalman filter is educed for identifying air bearing inertia matrix and gravity disturbance torque, and then the algorithm is validated

    由於氣浮臺平衡調試方法和手段的限制，實驗過程中氣浮臺質心與轉動中心有一定的位置偏差，必將導致較大的重力干擾力矩，在辨識演算法的推導過程中，重點考慮了重力干擾力矩的建模和參數辨識問題，推導了氣浮臺的轉動慣量和重力干擾力矩辨識的擴展卡爾曼濾波演算法，並對演算法進行了數學模擬和全物理模擬驗證。
  2. Aiming at the nonlinearity of state and measure equation and measurement being only angle information, which results in poor observability and classical estimate methods such as extended kalman filter not converging, the boost phase states and covariance are estimated using unscented kalman filter ( ukf )

    針對狀態方程和觀測方程都是非線性方程，觀測量只有角度信息，造成可觀測性弱、經典的濾波演算法如擴展卡爾曼濾波方法不易收斂的問題，利用unscented卡爾曼濾波ukf演算法對主動段進行狀態和協方差估計。
  3. The extended kalman filter ( ekf ) and converted measurement kalman filter ( cmkf ) have been widely used in radar target tracking

    在非線性量測的情況下， ekf和cmkf得到了廣泛的應用。
  4. When the targets maneuver slightly, we can get good result using extended kalman filter ( ekf )

    當目標做輕微機動時，將機動加速度看作噪聲採用擴展卡爾曼濾波（ ekf ）可以得到很好的跟蹤效果。
  5. Kalman filter is an optimal filter algorithm in the minimum - mean - square - error sense, meanwhile extended kalman filter is a sub - optimal filter algorithm, which derived from the linearization of nonlinear system using taylor expansion. while the non - linearity of the system is not extreme strong, ekf can achieve approximately optimal filter effect

    Kf是最小均方意義下的最優濾波演算法， ekf則是利用一階泰勒展開將非線性系統線性化而得到的一種次優濾波演算法，在非線性不是特別嚴重的情況下， ekf有著近似最優的濾波效果。
  6. 2. using the startlight angle as measurements, extended kalman filter is used for orbit determination

    以星光角距為量測量，運用廣義卡爾曼濾波實現定軌。
  7. 3. the dissertation proposes the extended kalman filter based to estimate the fundamental symmetrical component of the ps and the frequency while the frequency is unknown

    在電動機變頻調速系統的頻率未知條件下，給出了基本正序對稱分量和頻率估計的擴展卡爾曼濾波方法。
  8. Firstly, the inversion of the ground motion with the unknown parameters and limited measurements was studied by the sub - structural identification, and the least - square algorithm of unknown input was built. secondly, based on the estimated input, structural parameter down to the element level was identified in time domain by extended kalman filter algorithm. several cases of a 6 - story frame s

    首先，使用子結構識別技術，研究了未知參數、觀測不完整條件下的地震動輸入反演問題，建立了未知輸入的最小二乘估計演算法；其次，在估計地震動輸入的基礎上，使用廣義kalman濾波器方法，識別全部單元結構參數。
  9. The speed sensorless techniques for dtc system are very fascinating and challenging subjects recently, they are received wide attention in the literature. some brief description is provided. the proposed approaches are based on speed model of dtc, motor reference adaptive control, the instantaneous reactive power of motor and the extended kalman filter

    無速度傳感器調速系統是直接轉矩控制研究領域內一個非常熱門的研究方向，本文介紹了無速度傳感技術的發展歷史及目前的研究狀況，分別利用直接轉矩控制的轉速模型方法，模型參考自適應方法、電機定子反電動勢以及擴展的卡爾曼濾波器等方法設計了無速度傳感器系統，對于其數學模型和系統構成作了比較詳細的推導。
  10. According to a localization method of indoor intelligent cleaner, which includes a 2d kinematic modeling, multiple sensor fusion, an interval analysis based adaptive mechanism for an extended kalman filter, and corresponding simulation

    摘要針對室內全自主智能吸塵器，建立了二維運動學模型和以超聲傳感為主的多傳感器融合，並採用融合區間分析演算法的擴展卡爾曼濾波處理方法，作了對比模擬實驗。
  11. Algorithm for passive localization based on mvekf modified covariance extended kalman filter

    演算法的機載單站無源定位
  12. Based on extended kalman filter ( ekf ) algorithm, an traditional attitude determination scheme using star sensors and gyros was studied, and proved not able to achieve the required precision. so a new idea called instrument - in - loop was presented what using the attitude information contained in the payload ' s data for the control loop. the simulation proved that the instrument - in - loop method can greatly improve the precision of attitude determination with low cost

    建立了svom衛星各種姿態敏感器的測量模型，研究了基於推廣卡爾曼濾波演算法的「星敏感器+光纖陀螺」定姿方案，指出了其無法滿足svom衛星的定姿精度要求，並提出了instrument - in - loop的思想，即利用衛星有效載荷測量數據中蘊含的高精度姿態信息來濾波定姿，從而在避免使用昂貴的星敏感器的同時大大提高了系統的定姿精度。
  13. ( 2 ) the strong tracking extended kalman filter is extended to a class of nonlinear time - varying stochastic systems with additive combined colored noise

    （ 2 ）將強跟蹤擴展卡爾曼濾波器演算法推廣到一類加性復合有色噪聲干擾下的非線性時變隨機系統。
  14. The rotor resistance ' s identification has been completed by simulate and investigated using the ekf ( extended kalman filter ) arithmetic

    用擴展卡爾曼濾波器對轉子電阻的在線辨識進行了模擬研究。
  15. For vector control of asynchronous motor, a novel rotor resistance identification method, based on extended kalman filter ( ekf ), is proposed in this paper

    針對異步電動機矢量控制，提出了一種基於擴展卡爾曼濾波器的轉子電阻辨識方法，並據此建立了一個matlab / simulibnk模擬模型。
  16. Theoretical study and numerical experiments of extended kalman filter

    濾波的理論研究及數值試驗
  17. In the study of environment model - based processing, the thesis presents a signal enhancement method based on combination of the ocean acoustic propagation, measurement system and noise models. furthermore, a signal enhancement algorithm is developed on the basis of the model - based identifer ( mbid ) implemented by the the augmented gauss - markov process and corrsponding extended kalman filter

    本文通過了對模基信號處理實現信號增強的理論研究，提出了一種利用傳播模型、噪聲模型和陣測量模型、並注重環境信息來實現水聲信號增強的方法，繼而實現了基於增廣高斯?馬爾可夫過程和相應的擴展卡爾曼濾波聯合的模基辨識器的信號增強演算法。
  18. The method consists of two stages : sub - structural inversion of ground motion using least - square estimation, and parameter identification using extended kalman filter

    本文所建立的方法分為兩個階段：地震動子結構反演和單元結構參數識別。
  19. The presented dissertation mainly discusses the non - linearity existing in monostation and multistation radar measurement. the first part of this dissertation integrated the non - linearity with the uncertainty of measurement system, and presents a secondary order filter for correcting measuring variance while the measurement equation is non - linear. by comparing the filter error of extended kalman filter with that of secondary order filter, we find the filter performance of these two filters are almost same

    本文主要討論單站與多站雷達中的非線性測量問題，在1中，我們把測量系統的非線性與測量系統的不確定性聯系起來，針對只有測量方程是非線性的情況，給出了一種修正測量方差二階濾波器，並用這種二階濾波器分析了推廣kalman濾波器的濾波誤差，指出推廣kalman濾波器與二階濾波器相比，濾波性能幾乎相同。
  20. The subjects of this paper are the realization of speed - sensorless fast point - to - point position orientation system and to analyses the properties of state estimator based on extended kalman filter ( ekf ) for field - oriented controller ( foc ) system of induction motor

    本論文的研究目標一是用bang - bang控制思想實現無速度傳感器點對點快速定位系統，二是分析基於擴展的卡爾曼濾波器（ ekf ）異步電機閉環矢量控制系統狀態估計器的性能。
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