跟蹤濾波 的英文怎麼說

中文拼音 [gēnzōnglǜbō]
跟蹤濾波 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...
  • 跟蹤 : follow the tracks of; tail after; following; follow up tracing; track; tracking; trail; lock on; ...
  1. Method of order tracking filtering of rotating machinery based on zero - phase distortion digital filtering with segmentation overlap

    基於分段重疊零相位濾波的階比跟蹤濾波法
  2. Tacholess order tracking filtering for run - up or coast down vibration signal of rotating machinery based on zero - phase distortion digital filtering

    無轉速計旋轉機械升降速振動信號零相位階比跟蹤濾波
  3. Target tracking technology plays an important role in both military and civilian areas, so it is a very important and valuable work to study the target tracking technology actively, especially to study target tracking technology under electronic countermeasures ( ecm )

    目標跟蹤技術在軍事和民用方面佔有重要的地位，積極地開展目標跟蹤技術的研究，尤其是電子戰條件下的目標跟蹤濾波技術研究是一項重要而有價值的工作。
  4. The merits of dds such as super fine frequency resdutlon 、 high frequency accuracy 、 easy programmed can be in combination with the excellent character of narrow - band tracing filter merits of pll

    它可以將dds的超高頻率解析度、高頻率精確度、容易實現程式控制等優點與鎖相環良好的窄帶跟蹤濾波特性相結合。
  5. By making full use of favourable narrow - band tracing filter character of pll and by combining the merits of dds such as super fine frequency resolution 、 high frequency accuracy 、 very fast frequency hoping with it, the pll / pll + dds frequency synthesizer presents wide band high quality source and super small frequency hoping step. while the electronically tuned filter abates the image interference and notably improves the selectivity. the theorem of frequency synthesizer and center - frequency - fixed filter is simply but adequately introduced first in this paper

    課題中所採用的pll或dds pll鎖相頻率合成方法充分發揮鎖相環良好的窄帶跟蹤濾波特性，並結合dds的高頻率解析度、高頻率精確度和高速頻率捷變等優點，分別實現了系統所要求的高質量寬帶本振源和小步長頻率捷變；採用電調諧選頻技術，則大大改善了接收機的選擇性和抗干擾能力。
  6. 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。
  7. 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。
  8. 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。
  9. In this dissertation, the data process ( dp ) subsystem and radar control program ( rcp ) subsystem of gbr simulation system have been studied and discussed. the main work and innovation of this dissertation is as follows : ( 1 ) track filter, the basic element of track system, has been researched. we analyze the advantage and disadvantage of common target kinematic model such as constant velocity model, constant acceleration model, noval statistic model

    本文是基於某gbr模擬系統的合作項目中，本人負責的數據處理子系統和雷達控製程序子系統的研究和開發的結果，主要進行的工作和創新有: （ 1 ）基於跟蹤系統最基本的要素-跟蹤濾波，分析了當前常用的微分多項式模型， cv與ca （常速與常加速）模型，時間相關模型， noval統計模型，以及機動目標「當前」統計模型等目標運動模型的優缺點和雷達的觀測誤差。
  10. The paper includes four sections followed here : the first section studies the modeling of signals of pulse doppler radar seeker, and establishes a radar signal simulation model, including radar emitting signal model, receiving signal model, receiving echo signal model, clutter model, noise model, sum channel directional pattern of antenna model, difference channel directional pattern of antenna model, sheltering model, rcs model, glint noise model, etc. the second section studies signal processing of pulse doppler radar seeker, and establishes radar signal processing mathematical model and data processing mathematical model for simulation, including windowing, doppler filtering, envelope demodulation, pdi, cfar, centering, velocity tracking, angle tracking, a - b filtering, etc. the third section studies the modeling of modified proportion guiding, and establishes guiding model, then dynamic simulation results is provided

    論文的主要工作包括四部分：第一部分研究了脈沖多普勒雷達導引頭的信號建模問題，建立了雷達信號模型，主要包括：發射信號模型、接收信號模型、目標回波信號模型、雜波模型、噪聲模型、和差通道天線方向圖模型、遮擋因子模型、接收機噪聲模型、目標雷達截面積統計性模型、目標角閃爍模型等。第二部分研究了脈沖多普勒雷達導引頭的信號處理模式，建立了信號和數據處理模型，主要包括：加窗和多普勒濾波、包絡檢波、檢波后積累、頻域cfar處理、速度定心、速度跟蹤、角跟蹤、 ?濾波等，然後給出了信號處理流程。
  11. In the fourth part, the tracking filter for low - altitude radar target is studied

    第四部分考慮了低空目標的雷達跟蹤濾波技術。
  12. 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。
  13. La dead reckoning algorithm has been developed based on the doppler velocity log ( dvl ) and fiber optic gyrocompass. 2. since the basic kalman filter will become lapsed, strong tracking filter theory has been inducted, and a new strong adaptive kalman filter algorithm has been developed. further more an adjust gene has been imported, and gets a new arithmetic

    針對傳統的卡爾曼濾波演算法中由於噪聲統計特性未知而容易引起的濾波發散的缺點，引入強跟蹤濾波理論，提出了帶次優漸消因子的擴展卡爾曼濾波演算法，並進一步對該演算法進行改善，加入了調整因子，使濾波演算法得到較好的改善。
  14. 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。
  15. 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。
  16. Chapter 3 concentrates on the important technology of pd radar ' s data processing. this chapter includes the resolution of range and velocity ambiguity and the theory of the start of tracking, the refreshment of tracking, the disappearing of tracking and the single target tracking. in the part of the refreshment of the tracking, the, the theory and realizing of the filtering algorithm and the point ? tracking relating are illustrated

    第三章重點敘述了脈沖多普勒雷達數據處理的關鍵技術，包括數據錄取時距離和速度的解模糊； pd雷達工作在搜索狀態下目標航跡的起始，航跡的更新，航跡的消失，以及目標的編批和最優先級目標的判斷，其中航跡更新中主要講述了跟蹤濾波和點跡?航跡關聯的原理及實現； pd雷達工作在跟蹤狀態下的單目標跟蹤原理。
  17. 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。
  18. 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。
  19. 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。
  20. By augmenting the state vector, linearizing the nonlinear augmented state space model and adopting the equivalent measurement equation, the problem of strong tracking extended kalman filtering of nonlinear systems with additive combined colored noise can be converted into the problem of strong tracking kalman filtering of linear systems with correlated process and measurement noise

    通過增廣狀態向量、線性化非線性的增廣狀態空間模型和採用等效量測方程，將加性復合有色噪聲干擾下非線性系統的強跟蹤濾波問題轉化為過程與量測噪聲相關情況下線性系統的強跟蹤卡爾曼濾波問題。
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