ukf 中文意思是什麼

ukf 解釋
卡爾曼濾波
  1. 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。
  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. By the simulation, it is indicated that the curve motion model based on the particle can describe the curve motion of the target. and it is shown that the performance of the ukf algorithm is more precise than the tradition nonlinear filtering technique. by the contrast between the simulation results and the positioning result of commercial data process software,

    模擬結果表明，基於質點的曲線運動模型可較準確地描述進行曲線運動的載體; ukf演算法作為衛星導航系統的非線性濾波技術，較之傳統的線性濾波技術可獲得較高的定位精度;其定位結果與商業數據處理軟體相比，可滿足定位精度要求，該演算法可以直接應用於衛星導航系統的軟體實現。
  4. 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。
  5. 3. simple ukf could be gained on the base of linear observation function in bistatic radar, and be applied in the non - cooperative bistatic radar system

    3 、基於雙基雷達存在線性觀測方程特殊情況，得到了一種簡化ukf演算法（ sukf ） ，並應用到非合作式雙基雷達系統中。
  6. In chapter 4, spkf algorithm and its application in passive localization is studied deeply, especially, ukf is mainly studied

    第四章對spkf演算法及其在無源定位中的應用作了較深入的研究，其中又以ukf為研究重點。
  7. Combination algorithm fully use the advantage of the ukf for small noise and the upf ’ s non - sensitivity to noise, when noise increase, upf can also estimate the missile ’ s states well

    聯合演算法充分利用了ukf在噪聲較小時估計效果較好和upf對噪聲不敏感的特性，使得當觀測噪聲突然增大后，利用upf演算法仍能使導彈位置和速度誤差收斂，達到有效預警的目的。
  8. As one of the most popular nonlinear estimation algorithms, ukf is being studied and applied in passive localization by more and more researchers

    Ukf是目前廣受關注的一種非線性估計演算法，在無源定位領域也正被越來越多的人研究和採用。
  9. The ukf generates better estimates of the mean and the covariance of the states, leading to faster convergence

    Unscented卡爾曼濾波演算法不僅能夠給出更精確的均值和方差估計，而且還能帶來更快的收斂速度。
  10. This thesis presents the latest development of nonlinear filtering theory and the appliance of divided difference filter ( ddf ), unscented kalmen filter ( ukf ) and particle filter ( pf ) in non - cooperative bistatic radar positioning and tracking system

    本文介紹了非線性濾波理論的最新進展，把ddf （ divideddifferencefilter ）濾波器、 ukf （ unscentedkalmanfilter ）濾波器和pf （ particlefilter ）濾波器應用到了非合作式雙基雷達的定位跟蹤中。
  11. In order to improve the performance of ekf and ukf, the square soot unscented kalman filter ( sr - ukf ) with multiplicative noise is firstly investigated. considering the satellite nonlinear model, the sr - ukf attitude estimator is derived for gyroless satellite attitude estimation to render the state covariance with positive semi - definiteness and exceptional estimation accuracy

    對于姿態估計，採用了rao - blackwellization技術將衛星模型狀態向量中的線性狀態部分（陀螺偏差）和非線性狀態部分（衛星姿態）分開處理，線性部分狀態可以由卡爾曼濾波（ kf ）估計得到，非線性部
  12. Aiming at this problem, particle filter is studied. combination filter algorithm is constituted using ukf and improved particle filter ( upf ), and missile ’ s states with noise increase are estimated

    針對這個問題，研究了粒子濾波演算法，利用ukf和改進的粒子濾波（ upf ）組成聯合濾波估計演算法，可以有效估計具有噪聲增大時導彈主動段運動狀態。
  13. The nonlinear problem is inevitable in bearing - only target tracking problem. here the monte carlo based nonlinear filters are compared with the classical extended kalman filter ( ekf ) in this field : the unscented kalman filter ( ukf ), the particle filter ( pf ) and the unscented particle filter ( upf ). furthermore, a multi - sensor passive tracking algorithm, through combining the ukf and probability data association ( pda ), is provided for bearing - only target tracking in dense clutters

    本文將典型的montecarlo非線性濾波器? unscentedkalmanfilter （ ukf ） 、 particlefilter （ pf ）和unscentedparticlefilter （ upf ）應用於被動定位跟蹤，並在二維空間目標跟蹤模擬中與經典的擴展卡爾曼濾波演算法（ ekf ）進行了對比；本文將ukf演算法與概率數據關聯演算法（ pda ）相結合，給出了適用於雜波環境下多站被動式跟蹤的ukfpda演算法。
  14. In order to improve the convergence properties, unscented kalman filter ( ukf ) algorithm is derived under stellar - inertial modes

    為了改善收斂性能，提出了在星敏感器與光纖陀螺聯合定姿模式下的unscented卡爾曼濾波演算法。
  15. The results show that the conputation complexity of sukf is less obviously, and filtering accuracy compared with ukf is unchanged

    結果表明， sukf明顯減少了計算量，而濾波精度和ukf相比沒有變化。
  16. Finally, for comparison, ekf, ukf and central difference kalman filter ( cdkf ) estimators are used to gauge the performance of sukf estimator

    與ekf 、 ukf和cdkf濾波方法的模擬比較表明， sukf姿態估計器在保證精度的同時，減少了計算量。
  17. Simulation shows that ukf algorithm can estimate missile trajectory with satisfying precision and convergence speed, the method ’ s availability and feasibility for missile estimation is validated

    模擬結果表明ukf濾波能夠得到較為滿意的估計精度和收斂速度，驗證了該方法的有效性和對彈道估計問題的可行性。
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