跟蹤濾波器 的英文怎麼說

中文拼音 [gēnzōnglǜbōqì]
跟蹤濾波器 英文
tracking filter
  • 跟 : Ⅰ名詞（腳的後部或鞋襪 的後部） heel Ⅱ動詞1 （在後面緊接著行動） follow 2 （指嫁給某人） be marrie...
  • 蹤 : 名詞（腳印; 蹤跡） footprint; track; trace; trail
  • 濾 : 動詞（除去液體雜質） filter; strain
  • 波 : Ⅰ名詞1 （波浪） wave 2 [物理學] （振動傳播的過程） wave 3 （意外變化） an unexpected turn of even...
  • 器 : 名詞1. （器具） implement; utensil; ware 2. （器官） organ 3. （度量; 才能） capacity; talent 4. （姓氏） a surname
  • 跟蹤 : follow the tracks of; tail after; following; follow up tracing; track; tracking; trail; lock on; ...
  • 濾波器 : [電子學] electric filter; （electric） wave filter; filter
  1. The hardware is composed of the selection of sensor, magnifying circuit, filter circuit of multi - plot tracing, shaping circuit, demodulation circuit, peak value holding circuit, and voltage comparing circuit

    硬體部分包括傳感器的選擇、放大電路、多點跟蹤濾波電路、整形電路、檢波電路、峰值保持電路、電壓比較電路。
  2. The fifth chapter is about the design and realization of kalman filter in the system

    第五章討論了指揮車系統中卡爾曼跟蹤濾波器。
  3. The sampling period of the fusion center is defined as the lease common multiple of multi - sensors measurement period, so the same number of the local state estimation is transmitted to the fusion center every sampling period and the computation burden of the tracking filter is alleviated

    該演算法將融合中心的采樣周期設定為感測器測量周期的最小公倍數，使得傳輸到融合中心的局部狀態估計在每個周期內具有相同的數目，減少了跟蹤濾波的計算量。
  4. By changing the multiple time - varying fading factors of the strong tracking filter, mstkf switches between kalman filtering and strong tracking filtering

    通過直接改變強跟蹤濾波器的多重時變漸消因子， mstkf在卡爾曼濾波和強跟蹤濾波兩種工作狀態之間切換。
  5. Furthermore, utilizing the characteristic that filtering error covariance expresses filtering precision and the principle of information conservation, the dynamic and reasonable distribution of distributed tracks weight coefficient is accomplished. jerk model and strong tracking filter is organically assembled, and based on spatio - temporal synthetically analysis and lme, a self - learning estimation method of the system measurement variance is given. the method improves obviously the

    3 、將jerk模型與強跟蹤濾波演算法有機地結合，並利用時空綜合分析和極大似然估計的思想推導出了一種系統量測方差自學習修正方法，以優化強跟蹤濾波演算法中次優漸消因子和濾波增益的在線選擇，同時根據多傳感器數據融合具有改善濾波精度的性質，進而給出一種基於jerk模型的多傳感器數據融合演算法。
  6. The volatilization of filter is solved in simulation environment. four tracking filters are designed by altering the component of observe parameter to detect the effect of different compone nt. all four filters are evaluated in different position of fly envelop

    本文採用不同的觀測參數設計了四個跟蹤濾波器，以檢驗不同觀測參數對濾波性能的影響，在飛行包線不同位置對四個濾波器進行了評價。
  7. Unified self - tuning wiener state estimators are presented, which can handle the state filtering, smoothing and prediction problems in a unified framework, and their applications to the self - tuning tracking filters are given

    提出了統一的自校正wiener狀態估值器，它可統一處理系統狀態的濾波、平滑和預報問題，並給出了在自校正跟蹤濾波器中的應用。
  8. Based on online parameter estimation of the arma. innovation models, using the modern time series analysis method, the several self - tuning kalman tracking filters are presented, where the three different algorithms of the kalman tracking filter gains are used

    基於arma新息模型參數的在線估計，應用現代時間序列分析的方法，提出了若干自校正kalman跟蹤濾波器，其中，應用了求kalman跟蹤濾波器穩態增益的三種不同演算法。
  9. And along with the rapid development of the aerospace technology, all flight vehicles ’ speed and maneuverability are higher and higher. under this circumstance, how to enhance the performance of tracking high speed and highly maneuvering targets has become more and more important. thus, it is urgent to research new tracking and filtering methods with better performance

    而隨著現代航空航天技術的飛速發展，各種飛行器的航行速度和機動性越來越高，在此背景下，如何提高高速高機動目標的跟蹤性能成為一個越來越重要的問題，因此迫切需要研究性能更為優越的跟蹤濾波方法。
  10. In the second part, a style of digital tracking filter is introduced, which is used in the phase steady system of a style of long - range rocket

    最後，本文對機載伺服系統進行了初步設計。第二篇介紹用於某型遠程火箭彈角穩系統的數字跟蹤濾波器的研製。
  11. I ? en we utilize the fuzzy set theory to model the tracking filter

    然後，本文利用模糊集合理論來建立跟蹤濾波器的模型。
  12. This paper researches the engine component tracking filter for model - based control system

    本文研究用於基於模型控制（ mbc . model - basedcontrol ）系統的發動機部件跟蹤濾波器技術。
  13. The research shows that the engine component tracking filter designed in this paper can work well with good convergence

    在全包線范圍內的模擬結果表明，發動機部件跟蹤濾波器收斂性與跟蹤性良好。
  14. The correlations between measurement noises and processing noises are added to the gain matrix of tracking filter, so information that can describe multi - sensors fusion systems is increased

    在跟蹤濾波器的增益陣中引入測量噪聲與過程噪聲的相關量和測量噪聲之間的相關量，增加了描述多傳感器融合系統的信息量。
  15. The principle of voltage controlled tracking filters is introduced and a new design method is presented, which can pick up exterior signals more accurately with high signal - to - noise ratio

    摘要介紹壓控式跟蹤濾波器的原理，並提出一種新的設計方法，較高精度地提取外部信號，信噪比高，同時將該方法運用在動平衡機檢測電路中。
  16. ( 2 ) instead of normal kalman filter, a new kind of estimator : strong tracking filter ( stf ) is introduced to solve problem i. steered by reasonable requirement, stf based its tightness on strict mathematical deriving

    （ 2 ）引入新型的濾波器? ?強跟蹤濾波器對機動目標進行狀態估計。給出了強跟蹤濾波器的理論推導，並在此基礎上進行模擬研究，最後對模擬結果給出結論。
  17. Applications of their to self - tuning filtering are given, where the steady - state kalman tracking filter with the position and velocity measurements, and multivariable self - tuning tracking predictor, filter and smoother are presented

    給出了它們在自校正濾波中的一些應用。其中包括帶位置和速度觀測的穩態kalman跟蹤濾波器和多變量自校正跟蹤預報器、濾波器和平滑器。
  18. In this paper, a aero - engine performance tracking filter is designed by kalman filter algorithm. the filter estimate the ecdp ( engine component deviation parameters ) which reflect the deterioration of engine and the variation between engines. the estimate parameters are used to tune the embedded model to make the model consistent with the engine which respect

    本文利用卡爾曼濾波原理設計了發動機性能跟蹤濾波器，對反映發動機性能退化和不同發動機之間性能差異的部件性能偏離參數（ ecdp ， enginecomponentdeviationparameters ）進行估計，用估計值修正機載模型，通過修正後的模型計算發動機性能參數的變化。
  19. This paper introduce an analytic method of incorporating state variable inequality constrains in the kalman filter. the incorporating state variable inequality constrains can improves the estimation accuracy and strong the performance of restraining the noise

    本文還提出了用約束卡爾曼濾波的方法改進跟蹤濾波器，增強濾波器抑制噪聲的能力，並給出了約束卡爾曼的基本理論、研究了方法的可行性。
  20. The features related to the target maneuver are extracted from radar and infrared sensor. and as inputs are sent into the support vector machines firstly, and then, the target ’ s maneuver inputs are estimated secondly, so that, the accurate tracking is achieved finally

    先從傳感器的量測輸出和跟蹤濾波器的狀態輸出中提取和目標機動有關的特徵，而後送入支持向量機，估計目標的機動輸入，實現對機動目標的精確跟蹤。
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