method kalman filtering 中文意思是什麼

method kalman filtering 解釋
卡爾曼濾波法
  • method : n 1 方法，方式；順序。2 （思想、言談上的）條理，規律，秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  • kalman : 卡爾曼
  1. 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。
  2. 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。
  3. Geography position and meteorology character in gongboxia watershed are analyzed, according to which the excess of infiltration and instantaneous unit hydrograph are used in runoff and affluence models, and muskingum routing method in river course affluence, kalman filtering technique and least square method in real - time correction

    分析公伯峽流域所處地理位置及該流域內的氣象特徵，確定產、匯流模型採用超滲產流和瞬時單位線，河道匯流採用馬斯京根法，實時校正法由卡爾曼濾波和最小二乘法組成。
  4. First the idea of visual protractor is introduced, then a kalman filtering method is used to fuse visual information with encoder information to correct the mobile robot tracks obtained with encoder

    首先，介紹了視覺量角計的思想，進而利用卡爾曼濾波的方法將視覺信息與碼盤信息相融合，對依靠碼盤得到的航跡進行了修正。
  5. 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。
  6. Firstly, the effects of short - delay multipath to the dll, pll, and snr of receive signal are discussed. then the effects of multipath to multiple closely spaced antennas are presented. and solve the problem by promote a new method based on extended kalman filtering, which utilize the correlation of measure data of dll, pll and snr of each antenna

    最後，利用小范圍多天線系統中多徑信號對接收機碼環、載波環及信噪比影響的相關性，提出了基於擴展卡爾曼濾波器的多徑干擾抑制技術，解決了近距多徑信號的抑制問題。
  7. 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
  8. 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。
  9. Since there are a lot of periodic non - stationary stochastic processes, i combine the kalman filtering and multiresolution analysis methods, and propose the wavelet - kalman filtering hybrid estimating and forecasting method. this method has the real - time, recursion and multiresolution characteristics. in this paper, using this method, i realize the real - time tracking and dynamic multistep forecasting in one cycle

    針對自然、社會和經濟等環境中存在有大量周期性的非平穩隨機過程，我們將kf方法和多尺度分析方法相結合，提出了既具有實時性和遞歸性又具有多尺度分析能力的小波?卡爾曼濾波混合估計與預報方法，應用此方法可實現周期內對目標狀態的實時跟蹤估計和動態多步預報。
  10. Kalman filtering just can fetch up the default, which can give the optimum estimation of signal under the condition of the minimum mean - square. and this method works in the time domain, the processing speed is fast, which make it be used in the real time signal processing

    當信號含有噪聲時， kalman濾波可以在最小均方誤差條件下給出信號的最佳估計，而且是在時域中採用第推方式進行，因此速度快，便於實時處理。
  11. The experiments show that this method has great performance of single target tracking in sequence images on the sea. considering the correlation between the frames of sequence, we research the tracking methods which take advantage of both the intra - frame and inter - frame information, including predicting tracking machine based on kalman filtering algorithm and matching tracking machine based on mean - shift algorithm

    實驗表明，該方法對海上單目標跟蹤具有很好的穩定性;然後，針對序列圖象具有幀間相關性的特點，研究了基於幀內? ?幀間信息的自動跟蹤方法，即同時利用幀內信息和幀間相關性信息，設計了基於kalman濾波的預測跟蹤器和基於mean - shift演算法的匹配跟蹤器。
  12. 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。
  13. Recently, withthe rapid improvement of performance of digital processor, sequential monte carlo ( smc ) method has a wide range of application in engineering, especially in signal processing, statistics, and econometrics etc. the time varying systems can be stated in the form of a dynamic state space model. for linear models and gaussian noise, the kalman filter provides analytical expressions for posterior filtering

    一般的時變系統都可以被看作是一動態狀態空間模型，對于線性高斯模型，卡爾曼濾波可以給出后驗密度函數的解析解；而對于非線性非高斯模型，我們則無法得到它的解析解，在這種情況下則可以使用序列蒙特卡羅方法來對其進行近似。
  14. 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。
  15. Hence, the kalman filter gain matrix can be computed off - line using matlab. the research uses compensating method to solve kalman filtering divergence problems

    針對計算誤差引起的濾波發散問題，本文採用性能退化參數補償法，初步解決了濾波的發散問題。
  16. In this paper, i obtain the dynamic estimation of the b based on the kalman filtering method. then it is reported that the results of this method is more effective compared with the traditional regression method. it clearly demonstrates the advantage of the kalman filtering method

    最優估計理論中的卡爾曼濾波（ kalmanfiltering ， kf ）方法具有實時估計能力，論文基於kf方法對系數進行動態估計，並將其估計結果與傳統的回歸分析方法的估計結果進行比較，發現基於kf方法的估計值是實時變化的，並且更加有效，充分體現出kf方法的優越性。
分享友人
分享到 Line

分享到臉書