multisensor 中文意思是什麼
multisensor
解釋
多傳感器-
Airborne emitter recognition based on multisensor data fusion of esm and elint
信息融合的機載輻射源識別 -
Addible fuzzy system based multisensor data fusion diagnosis
基於可加性模糊系統的多傳感器數據融合診斷 -
It classifies data of conflict, redundancy and complementarity according to the relationship of self - entropy and mutual entropy about sensor data, and builds the structure of multisensor data classification for classified fusion
該方法根據傳感器數據自熵和互熵的關系實現沖突、冗餘和補充的數據分類，建立多傳感器數據分類結構並進行分類融合。 -
The purpose, meaning and classified methods of data fusion are introduced. a model of multisensor data fusion is designed for the mapping system
介紹了信息融合的目的和意義以及分類方法；設計了適用於標圖系統的多傳感器數據融合的模型。 -
With the developments of modern science & technologies and the requirements of the modern warfare, there are many kinds of multisensor systems carried by single platform or by multi - platform coming forth
隨著科學技術的不斷發展以及現代化戰爭的需要，基於單平臺和多平臺的多傳感器系統大量涌現。 -
Here, the author put the emphasis on target trajectory smoothing, filter, prediction technique based on a parameterized model in multisensor target tracking system
作者在文中重點討論了用於多傳感器目標跟蹤系統的多項式最小二乘平滑、濾波和外推技術。 -
In recent years, multisensor image fusion techniques have attracted extensive attention in remote sensing application and image project area
近年來，多源遙感圖像融合已經成為遙感應用領域和圖像工程領域的研究熱點。 -
Our task is to try to combine the technology of multisensor information fusion and distributed intrusion detection, hope to process uniformly all kinds of data and information from multiple heterogeneous distributed sensors so as to evaluate the security situation of all network environment. therefore, a kind of intrusion detection system adapted for internet is needed to design and develop, that is called cyber - ids
也有一些系統開始採用信息融合的處理技術，如nides [ 6 ] ， emerald [ 7 ] ，只是採用的信息融合處理僅限於局部的、底層的實現，沒有從理論上、體系結構上作進一步研究，並加以系統化，以適應大規模異構網路環境的需求，實現更高層次的信息融合和入侵檢測。 -
Passive detect sensor has the advantage which ca n ' t easy to be detected by enemy, but single sensor can not get all parameters of moving targets. multisensor ' s information is needed to obtain all parameters of move targets
無源探測傳感器具有不易被敵發現的特點，但單個傳感器不能實現對運動目標的完全觀測，需要利用多個傳感器信息來實現對目標的完全觀測。 -
A multisensor convex linear statistic fusion modal for optimal interval estimation fusion is established. a gauss - seidel iteration computation method for searching for the fusion weights is suggested. in particular, we suggest convex combination minimum variance fusion that reduces huge computation of fusion and yield approximately optimal estimate performance generally, moreover, may achievers exactly optimal performance in some cases
建立了一種最優區間估計融合模型? ?多傳感器凸線性組合，並給出搜索最優權系數的gauess - seidel迭代演算法，另外，給出了一種近似的區間估計融合? ?凸線性組合的最小方差融合，它能減少大量的計算量。 -
It should detect categories of obstacle. in this paper, recognizing obstacle based on multisensor fusion technology is given. in the support of tianjin ' s natural science foundation " the study of mobile robot system technology faced to complicated task " ( no. 003601211 ) and hebei province ' s tackling key problem plan " the study of agv accurate navigation used in material automation transportation " ( no. 00547001d - 18 ), this thesis developed application study of information fusion based of multisensor in mobile robot ' s navigate autonomously. in this thesis, the main work and innovation include : the structure of hebut - 1 mobile robot is designed. furthermore, the driving system ' s characteristics and the kinematics features of the mobile robot are analyzed
在天津市自然科學基金「面向復雜任務的移動機器人系統技術研究」 （課題編號： 003601211 ）和河北省攻關計劃「用於物料自動傳輸的自主車精確導航的研究」 （課題編號： 00547001d - 18 ）兩項基金的支持下，開展了基於多傳感器信息融合技術在移動機器人自主導航中的應用研究，本論文的主要研究內容如下：介紹了由本研究室自行研製的hebut -型移動機器人的車體結構並對驅動系統和運動學特性進行了分析。 -
When the survey data sampled by multiple sensors are adopted to estimate the parameter under the interference of measurement noise, the multisensor data fusion demands timeliness and spatiality
摘要當採用分佈在不同空間位置上的多傳感器觀測值對測量噪聲干擾下的參數進行融合估計時，數據融合存在時間性與空間性。 -
The multiscale modeling we describe in this dissertation has been employed in a wide variety of applications, including : geophysical remote sense imaging, ocean height estimation, surface reconstruction, image denoising, texture discrimination, image segmentation, object recognition and multisensor fusion for groundwater hydrology
目前，多尺度模型技術已在地形遙感成像、海洋高度估計、地表重構、圖像去噪、紋理辨識、圖像分割、目標識別和地下水文學的多傳感器數據融合等實際問題中得到了廣泛的應用。 -
The optimal scheme of multisensor in sins, analysis of reliability in multisensor and the advantages of the application of information fusion in multisensor are studied. 3
研究了捷聯慣導中多傳感器使用的最佳配置方案和可靠性分析以及多傳感器信息融合的理論，介紹了基於完整性的容錯控制器設計。 -
The application of multisensor information fusion of dempster - shafer evidential reasoning to sliding mode control with measuring noise was investigated, which helps to depress the uncertainty of the sliding mode function
摘要研究了d - s證據推理多傳感器信息融合方法在存在量測噪聲的滑模控制中的應用，它有助於削弱模函數的不確定性。 -
Research of multisensor for long range target tracking accuracy
多傳感器遠距離目標跟蹤精度分析 -
We put forward a scheme that multisensor data fusion - surface fitting and curve - fitting was applied in this system according to the temperature drift and nonlinear of sensor. communication between personal computer and measurement system of sensor was realized by means of transceiver with the type of max232, which could finish the data conversion, data processing and printing task, with the result that the measurement system was further improved
針對傳感器測量的溫度漂移和非線性等問題，提出了利用多傳感器信息融合技術?曲面擬合法和曲線擬合法來加以解決，並通過max232收發器實現pc機與傳感器測量系統之間的通信，完成數據轉換、數據處理和列印等功能，使測量系統更加完善。 -
The dissertation systemically studies the multisensor system with correlated measurement noise
論文系統的研究了各個測量傳感器相關的多傳感器融合系統。 -
In order to inprove the tracking performances of some sensors and local nodes, the paper discusses the state estimation techniques in multilevel multisensor surveillance systems with feedback information. based on the single sensor kalman fitering equations with feedback information, this paper presents two - level centralized, distributed and hybrid track level fusion methods with feedback information in multicoordinate systems. in the different cartesian coordinates, several kinds of track level fusion methods with feedback information for three - level multisensor data fusion systems are proposed, in which centralized - distributed, distrbuted - distributed and hybrid - distributed estimation combination problems with feedback information are considered, and proves that two kinds of three - level estimation solutions with or without feedback information are optimal and equivalent in the form of the theorem. the simulation results show that the multilevel multisensor data fusion system can not only increase the global estimation acuracy of target but also greatly improve the tracking perfomances of some sensors and local nodes by using the feedback information
為了改善局部節點和傳感器級的跟蹤性能，本文研究帶反饋信息的多級式多傳感器系統中的狀態估計技術.在給出有反饋信息情況下傳感器級狀態估計解的基礎上，本文提出多坐標系中有反饋信息的兩層集中、分佈和混合估計方程.在不同笛卡爾坐標系中，本文提出了幾種帶反饋信息的三層多傳感器系統中的航跡級融合方法，其中包括集-分估計、分-分估計和混-分估計，並以定理的形式證明有、無反饋信息情況下的兩類三層狀態估計是價的、最優的.模擬結果表明，在多傳感器信息融合系統中引入反饋機制可以明顯改善一些局部節點和傳感器級的跟蹤精度 -
Based on robust filtering theory, this paper develops polytopic models of uncertain multisensor system and centralized robust fusion estimation by linear matrix inequality ( lmi ) method, and proves the exact transforming condition, by which robust centralized estimation can be transformed to the distributed fusion method with the same fusion estimation performance
本文以魯棒濾波理論為基礎，給出了不確定多傳感器系統的多胞型描述模型，並利用lmi方法給出集中式魯棒狀態融合估計問題的解，證明了將集中式魯棒融合估計轉化為相同估計性能的分散式融合估計演算法的條件。
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