空間譜 的英文怎麼說
中文拼音 [kōngjiānpǔ]
空間譜
英文
spatial spectrum-
Before using phase - only algorithm to achieve nulling, estimations of the number of interferential sources and the doa of interferential signals are needed. so, the spatial spectrum estimation basd on the maximum likelihood method ( capon method ) and music algorithm used for detecting the number of interferential sources and the doa of interferential signals are discussed in the second chapter
在採用phase - only演算法進行波束置零之前，需要估計干擾源的方向和個數，因此本文還在第二章介紹了發射數字波束形成中用於測定干擾源個數和方向的空間譜估計法? capon演算法和music演算法的測向原理，並分析了它們的性能和優缺點。Space spectrum estimation technology has a comprehensive perspective in the military and civilian applications, the estimation method based on higher - order statistics has better performance than that based on covariance. firstly, the thesis introduces the definitions and the attributes of the higher - order statistics
空間譜估計技術在軍用和民用方面都有著廣泛的應用情景，將高階統計量應用於空間譜估計，所得到的性能要好於基於協方差的空間譜估計。From the fourier space k corresponding to the scattering field of the object, an imaging evaluation mechanism based on the spatial spectral coverage is proposed
摘要從物體散射場對應的傅里葉空間出發，提出基於空間譜域分佈的成像系統定性評價體系。There are mainly two type of algorithms used for spatial spectrum estimation : one is those based on bayesian maximum likelihood method, like the ml ( maximum likelihood ) algorithm, maximum entropy method and etc., the others are based on the spatial decomposition or projection of correlation matrix, this kind of algorithm include vector characterization method, music ( multiple signal classification ) algorithm, projection matrix method, etc. music is a classical spatial spectrum estimation algorithm that has a super high resolution and is widely used today, however, it cannot estimate doa of signals that are correlated
空間譜估計的演算法大致分兩大類:一是基於極大似然估計和最大后驗概率估計統計理論的演算法，包括:極大似然估計法（ ml ） 、最大熵法等;另一類是基於對協方差矩陣進行子空間分解或投影的演算法，包括:矢量特徵法、多重信號分類法（ music ） 、投影矩陣法等。其中， music法是一種經典的空間譜估計主流演算法，具有超強的分辨性能，但它無法實現對相干信號進行測向分辨。First, the thesis introduces the definitions and the attributes of the higher - order statistics. it is insensitive to additive gaussian noise ( white or colored ), which is what we base on to doa problems. then two doa estimation algorithms based on higher - order statistics are presented, one is that forming cumulant matrix pencil used in esprit to estimate doa problems, the other is spectrum estimation method for doa estimation based on the eigenstructure analysis of the fourth - order cumulant, and comparing the effects of the estimation to conventional covariance - based doa algorithms "
論文首先對高階統計量的定義和性質作了介紹，特別指出了高階統計量對加性高斯噪聲（白色或有色）不敏感，這是我們利用它進行波達方向估計的理論依據，然後文中提出了兩種基於高階統計量的波達方向估計方法，一種是利用子空間旋轉不變技術構造四階累積量矩陣進行估計的方法，另一種是基於四階累積量陣特徵分解的空間譜估計測向方法，並將它們的估計效果與傳統協方差方法的效果進行比較。Fortunately, we can solve this problem by using ap ( alternating projection ) algorithm, by this way ; the computational load can reduce dramatically. doa estimation is mostly research base on linear array, because of the limitation of linear, it can estimate the azimuth only ; solid array can estimate the azimuth and elevation, in this paper, the solid array is used for doa estimation ; when the signal sources are uncorrelated, the music algorithm is chosen, using mdl / aic algorithm, we attain the signal number of sources
本文採用立體六元陣進行測向，在非相干信號源條件下，採用music演算法進行doa估計，採用基於信息論原理mdl準則或者aic準則判斷信號源數目，通過對陣列流形的研究，指出基於圓陣的陣列流形具有的某種對稱性，利用該對稱性來降低運算量，並且通過對演算法的研究，提出用維數較小的信號子空間或噪聲子空間來計算空間譜，進一步減小music演算法運算量。Phased array system is an important application field of spatial spectrum estimation techniques
相控陣系統是空間譜估計測向技術的一個重要的應用領域。By analysis of the intermediate frequency signals which through eight antennae and receiver channels, eight channels radio spatial spectrum direction finding system can reach the purpose of finding radio direction
八通道無線電空間譜測向系統通過分析經過八路天線和接收機通道以後的中頻信號達到確定無線電信號方向的目的。Among the algorithms of doa estimation, as the super - resolution spatial spectrum estimation technique, multiple signal classification ( music ) algorithm is one of the most classical algorithms
在對信號doa估計的演算法中，作為超分辨空間譜估計技術的music （ multiplesignalclassification ）演算法是最經典的演算法之一。The music ( multiple signal classification ) algorithm, presented by doctor r. o. schmidt in 1979, is the most classical super - resolution algorithm. on the condition of exact model of antenna array, the music algorithm can estimate the doa of uncorrelated signals accurately
最經典的超分辨空間譜估計方法是schmidt博士在1979年提出的music （ multiplesignalclassification ）演算法，在模型準確的前提下，該演算法能精確地估計出空間互不相關信號的到達方向（ doa ） 。Spatial spectrum estimation techniques for satellite interference localization
空間譜估計方法在衛星干擾源定位中的應用Spatial spectra of neural electric activities and their application in study of visual spatial selective attention
腦電源的空間譜及其在視覺空間選擇性注意研究中的應用The main studied topic of spatial spectrum estimation is the direction of arrival ( doa ) of spatial signals
空間譜估計的研究主題是在處理帶寬內空間信號的到達方向（ doa ， directionofarrival ） 。Due to the limitation of this algorithm, this dissertation proposes two improved methods : one - dimension noise subspace - based spatial spectrum estimation algorithm and improved music algorithm
針對演算法的此局限性，本文提出了兩種改進方法:基於一維噪聲子空間方法的空間譜估計演算法和改進music演算法。It has more than twenty years since the eigen - decomposition spatial spectrum estimation algorithm was presented. and a lot of efficient methods have been proposed. but most of them are based on the element outputs of the array, namely method at element level
對基於特徵分解的空間譜估計測向技術的研究已進行了二十余年，並已提出了許多有效的方法，但它們絕大多數都需要已知所有陣元的輸出，即為基於陣元級的方法。Researching and developing the new system of space spectral estimation is very necessary now. it is also an important developing direction in " ten - five " period
進一步研究了空間譜估計測向系統，它是「十五」期間重點發展的方向。This thesis introduces the design process of intermediate frequency ( if ) digital receiver used in space spectrum radio supervising and measuring system
本文介紹了應用於某空間譜無線電監測與測向系統中的中頻數字接收機的設計過程。Studies of spatial spectral estimation based on high order statistics
基於高階統計的空間譜估計研究Start to research the theory of space spectral estimate since 30 years ago
關于利用空間譜估計演算法進行doa的理論研究已有30年的歷史。A good base of using single - channel receiver to realize mobile space spectral estimation direction finding engineering and minitype system is proposed
該設計方案為空間譜估計測向的進一步工程化、小型化打下了良好的基礎。分享友人