ekf 中文意思是什麼

The former put stress on the research of time optimal control method, fuzzy discursion and moving track, and the latter on the study of ekf recursion algorithms, noise model and noise characteristic identification

前者的重點是最優時間控制方法、模糊控制器的推理以及運動相軌跡分析；後者側重於ekf的狀態估計方法、噪聲模型對濾波估計性能的影響以及噪聲模型的辯識方法。

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。

Thirdly, an ideal satellite orbit is simulated, and on this foundation, we establish some typical simulation and testing circumstances. lastly, after simulation in the simulation and testing circumstances, we compare the performance of ukf and ekf. and then, based on the outdoor experiment of the vehicle, an analysis and contrast between our simulation results and commercial data process software is carried out, and the conclusion is obtained

首先在第三章提出的目標運動模型的基礎上建立了系統狀態方程;其次簡要分析了衛星導航系統中的各類誤差，建立了基於偽距觀測量的系統觀測模型;第四節利用yuma格式歷書數據模擬了未受攝動影響的衛星軌道，並在此基礎上建立了幾種典型的動態模擬測試環境;第五節為模擬分析和比較，先對ukf演算法和ekf演算法在動態模擬測試環境中進行了模擬比較，然後針對外場試驗，對非線性濾波獲得的定位結果與商業軟體進行了分析比較，並得出結論。

Tracking performance is bad to anti - jamming and unstable in cartesian coordinate using ekf because of the bearing - only problem existing in the ir sensor

由於紅外傳感器只能獲得角測量信息，在直角坐標系下子跟蹤系統不穩定，抗干擾能力差。

Backed up by the soplat theory based on particle kinematics, the second chapter of this paper presents with analysis and simulation of several single observer passive measurement models, which uses such relative movement parameters as bearings changing rates and centrifugal acceleration information on the basis of bearings measurements. in the third chapter, the observability of location respectively using bearings and its changing rates information and centrifugal acceleration information is analyzed, and its observable condition is got. the fourth chapter puts forward the modified covariance extended kalman filtering ( mvekf ) against the defect of traditional extended kalman filtering ( ekf ), whose performance is simultaneously compared in the chapter with the performance of ususal tracking algorithm such as ekf, mgekf, iekf by computer simulation

在近年來提出的基於質點運動學原理的單站無源定位理論基礎上，本文第二章提出了幾種在角度測量的基礎上增加角度變化率及相對運動的離心加速度等運動學參數的單站無源測量模型，並對它們進行了分析和模擬；第三章分別對利用角度及其變化率信息定位和利用離心加速度信息定位的可觀測性進行分析並得到了相應的可觀測條件；第四章針對傳統擴展卡爾曼（ ekf ）方法的缺點，提出了一種修正協方差的擴展卡爾曼濾波（ mvefk ）方法，並將其和ekf 、 mgekf 、 iekf等常用的單站無源定位濾波方法進行了性能模擬比較；第五章通過引入雷達機動目標跟蹤方法和模型，提出了利用角度及其變化率對機動輻射源跟蹤的多級噪聲自適應方法和imm方法；第六章主要對角度變化率和離心加速度參數的獲取技術進行了研究，提出了幾種高精度測量脈沖序列多普勒頻率變化率的方法。

Application of ekf on identification of multivariate chaotic time series

在多變量混沌序列辨識中的應用

Pdaf, image matching, ekf and e. t. c. is used in this scheme

在演算法中採用了pdaf 、圖像匹配、 ekf等演算法。

Ekf algorithm is analyzed

先分析了ekf演算法。

By using ekf, this algorithm can obtain better location performance

運用卡爾曼濾波器，這種演算法可以獲得很好的定位效果。

In order to avoid the weakness of ekf, spkf algorithm is brought out

為突破ekf演算法的限制，有研究人員提出了spkf類演算法。

Inversion of ground motion and identification of structural parameters by ekf

部分輸入未知條件下結構動力復合反演的分解演算法

The simulation results demonstrate that the maekf has better performance than the ekf in accuracy

對比模擬分析表明，濾波效果有所改善，提高了精度和收斂速度。

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。

Ekf algorithm is the most classical nonlinear method, successfully applying in many passive localization problems

Ekf演算法是最經典的非線性估計演算法，在無源定位中有不少成功的應用。

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。

Several carrier frequency estimation algorithms including ekf and rls with opened loop are analyzed, which aim to settle the carrier phase estimation problem preferably under high dynamic circumstances. an improved phase and frequency esti - mation algorithm is proposed in the paper. simulation results show that the algorithm is faster and more precision than other algorithms

為更好地解決高動態環境中的載波同步問題，本文進一步研究了存在動態多普勒頻移情況下的開環相干載波同步問題，包括基於擴展卡爾曼濾波、最小二乘演算法等的頻差、相差聯合估計方法。

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。

Chapter three is about the experimental research of the real time optimal position system ( see chapter two ), emphasis on the high performances of 196mx pts interrupt response and safe design of ipm module. the analysis of perfect experimental waveforms and basic algorithm are also provided. chapter four focus on the properties and application of ekf estimator

論文第三章對點對點快速定位系統進行了實驗研究，重點介紹了196mxpts中斷系統對高速處理實時邏輯信號和消除編碼盤光電頭邊緣振蕩效應所起的作用、 ipm模塊的安全性分析設計等，同時給出了完整的實驗波形分析以及基本演算法。

4. suboptimal fading ddf ( sfddf ) and suboptimal fading ukf ( sfukf ) algorithm can be obtained with the application of suboptimal fading ekf. suboptimal fading algorithm is an error compensative technology basing on the kalman filter orthogonality principle, which can greatly improve filtering precision and stability

4 、把一種帶次優漸消因子的ekf演算法推廣到ddf和ukf演算法中，得到sfddf和sfukf演算法，次優漸消因子是一種基於kalman濾波正交原理誤差補償技術，它的引入較大的改善了濾波精度和演算法穩定性。

An on - line minimum - variance estimator was developed for thrust acceleration applied to orbit transfer using discrete - time radar measurements. the mass - flow - rate of propellant was selected as a state variant, which was estimated by employing an integral state model and ekf filter. the variation equations for measurement vector to mass - flow - rate have been established to linearize the discrete - time measurement equations. the algorithm has applied successfully to maneuver process in commanding satellite into geo - stationary orbit. the results show that the algorithm developed here can monitor and determine whether engine works well or failure precisely and quickly during orbit transfer process

飛行器軌道機動過程中，為跟蹤、定位機動目標和干預機動控制過程，需要統計處理離散的雷達觀測量實時估計推進發動機的推力，進而確定飛行器的瞬時軌道參數.本文所述演算法是該工程問題的探討和解決方案.文章建立了軌道機動過程中連續變質量運動模型和離散雷達量測模型，推進發動機的質量秒耗量作為表徵推力加速度的一個近似常量，應用擴展卡爾曼濾波對離散的雷達測量數據進行順序統計處理給出秒耗量的最小方差估計;文章詳細地推導了線性化量測模型的變分方程和觀測矩陣;模擬結果表明該演算法能快速、準確地估計推進發動機的質量秒耗量和向機動目標施加的實際推力