kalman 中文意思是什麼

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。

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

In order to satisfy the veracity and the robustness against time - variable noise of the aoct, a new square root kalman adaptive filter arithmetic with time - variable noise statistic is presented in this paper. in addition, the wavelet analysis is applied to inspect the singularity of the measured current, and an adaptive signal - noise decomposer for aoct is designed

為了滿足aoct自適應控制的準確性和時變噪聲魯棒性的要求，論文將kalman濾波理論引入到自適應濾波中，並應用矩陣理論提出了一種新的時變噪聲統計的平方根kalman自適應演算法。

The human motion tracking section discusses the use of combined algorithm to prevent kalman filter from diverge, while to estimate the motion state of human in image sequence accurately. when people mutually occlude forming group and then split, the algorithm in this paper matches human based on their color feature, resolves the problem to match human before forming group and after group splitting, and achieves satisfied results

在單獨人體融合成人群然後人群再分裂成單獨人體的情況下，本文的演算法利用人體的顏色特徵進行人體之間的匹配，解決了融合成人群前的人體與人群分裂后的人體之間的對應問題，並在人體運動跟蹤中取得了滿意的效果。

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。

In this paper, the main research works are as follows : 1 ) survey and analysis previous work in auv navigation and summarize : as the cumulate error, the dead - reckoning and inertial navigation systems ca n ' t be used without other modified system ; the acoustic navigation system is used only in small range, and is very expensive. 2 ) two important approaches in geophysical navigation techniques are summarized, one is terrain contour based navigation, this approach is investigated keystone today ; the other is image based navigation, due to no perfect image sensors and image seabed map, this approach has seldom been practised. 3 ) two important terrain contour based navigation algorithms has been applied to auv, one is match algorithm - based terrain contour match ( tercom ) ; the other is kalman filter - based sandia inertia terrain - aided navigation ( sitan )

主要研究內容包括：一、總結分析了當前水下導航的常用方法和不足之處，指出基於航位推算的導航方法，存在著最大的問題就是導航誤差的積累問題，如果沒有修正系統，這種方法很難滿足使用要求；其次指出基於聲學的導航方法，造價昂貴，導航范圍有限，難以滿足自主水下航行器大范圍導航的需求；二、總結了當前水下地形輔助導航的主要技術路線，一是基於地形高程的匹配方法，這是當前研究的重點；二是基於地形圖像的匹配方法，由於缺乏良好的圖像傳感器，和可用的海底圖像地圖，目前這種方法還有待研究發展；三、將兩種地形高程匹配的常用方法應用到自主水下航行器上：以相關演算法為前提的地形輪廓匹配（ tercom ）方法和以卡爾曼濾波為基礎的桑迪亞慣性地形輔助導航（ sitan ）方法，前者演算法簡單可靠，但是導航精度不高，後者雖然精度比較高，但存在著演算法較為復雜、有可能發散和出現奇異值等問題。

Kalman filter is the best estimate under the linear and unprejudiced least mean square error rule

卡爾曼濾波是線性無偏最小方差準則下的最優估計。

The glint suppression using high resolution range profile under conical angle measurement is studied, the angle information in signal components of scatters are extracted and averaged to suppress the glint. nonlinear kalman filtering methods under near spherical coordinate are analyzed and used to get more accurate tracking

研究了圓錐掃描測角體制下基於距離高分辨的角閃爍抑制方法，利用距離維高分辨像，提取強散射中心反射信號分量，在此基礎上估計出各個強散射中心的角度測量值，採用平均方法減少角閃爍對測角的影響。

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。

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。

The results indicate that this comprehensive kalman filtering technique has the features of good stability of computation values, rather strong adaptability and well elimination of the effect caused by gross errors

算例結果表明，這種綜合卡爾曼濾波方法具有數值穩定性好、有較強的自適應性和能比較好地削弱粗差影響等優點。

The equations of the mean value functions and the covariance functions are established for dynamical systems whose inputs are fuzzy stochastic processes. an existence and uniqueness theorem of ito fuzzy stochastic differential equations is proved, some explicit representations of solutions and the equations of statistical characteristics are deduced for linear fuzzy stochastic differential equations, and numerical methods to nonlinear fuzzy stochastic differential equations are proposed, the conditions for stability and observability of fuzzy linear systems are derived. the kalman filter algorithms of linear fuzzy stochastic systems are brought forward

主要成果包括：提出了模糊隨機變量協方差和反向協方差的概念；研究了二階模糊隨機變量的均方收斂性，並在此基礎上得到了均方模糊隨機分析、平穩模糊隨機過程及其譜分解的若干定理；根據均方模糊隨機分析理論，得到了輸入為模糊隨機過程的線性系統的輸出輸入統計特徵關系方程；證明了ito型模糊隨機微分方程解的存在唯一性，並給出了ito型線性模糊隨機微分方程解的表達式，統計特徵方程以及非線性模糊隨機微分方程的數值解法；得到了模糊線性系統的穩定性和可觀性條件、線性模糊隨機系統統計特徵方程和線性模糊隨機系統的kalman濾波演算法；研究了當觀測值是模糊數據時，線性回歸模型的建立。

Combining with the performances of danshan bridge, discussing the methods on the construction controlling and calculation of cable - stayed bridge, this paper raises an efficient construction controlling system, and realizes collecting construction data of the real bridge and technical information. by analyzing on the difference of theoretical calculation and real construction state, the author determines to take self - adapting construction controlling method which uses kalman filter method to identify and adjust construction parameters. by getting rational construction state from forward iteration method, this paper, taking concrete creep effect in consideration, raises a rational scheme to pre - remain deformation and adjust cable force

結合丹山橋的結構特點，通過對斜拉橋施工控制及結構計算方法的探討，提出了有效的施工控制系統，實現了對實橋施工數據和技術信息的採集；通過分析理論計算與實際施工狀態的差異，確定了以卡爾曼濾波法作為施工參數識別與調整的自適應施工控制方法；通過正裝迭代法確定其合理施工狀態，並考慮混凝土的徐變效應，提出了合理的預留拱度和索力調整方案。

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。

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。

Z - tranformation augmented fasf algorithm proposed in the dissertation can reduce the search space of integer ambiguity effectively, improve the effiency and real - time processing ability of integer ambiguity resolution ; it is essential to analyse the reliability of integer ambiguity after it was fixed, the ratio test algorithm proposed in the dissertation can reduce the time to fix new integer ambiguity after wrong fixes are detected ; to reduce further the number of epochs required for ambiguity resolution, that the baseline length constraint information which acts as observables is used to do kalman filtering to speed up ambiguity resolution is proposed

本文提出的z變換增強fasf演算法能有效的減小模糊值搜索空間，提高整周模糊值解算的速度和實時性；整周模糊值確定后，需要對整周模糊值的可靠性進行分析，本文提出的比率檢測演算法能有效的減少整周模糊值錯誤確定后整周模糊值二次解算所需要的時間；為了進一步減少整周模糊值解算所需的歷元數目，本文提出把基線長度先驗信息作為觀測量進行卡爾曼濾波輔助整周模糊值求解。

It also has comparison between kalman filtering algorithm and least square method in post - flight data processing

在事後數據處理中，用最小二乘法與kalman濾波方法進行比較。

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。

Dynamic models and measurement models of real - time data processing and post - flight data processing are given respectively. based on kalman filtering, two improved kalman filtering algorithms are obtained, which correspond to different demand of real - time data processing and post - flight data processing

分別給出了在實時數據處理和事後數據處理中動力學模型和測量模型，根據kalman濾波思想，針對實時處理和事後處理的不同要求，得出對應的兩個改進的kalman濾波演算法。