clutter suppression中文是什么意思

發(fā)音:

中文翻譯
造句

雜斑抑制
雜波抑制

clutter n. 1.〔方言〕喧囂。 2.混亂，(房屋等)擁擠雜亂的 ...
clutter-transient suppression 雜波瞬時抑制
precipitation clutter suppression 降水雜亂回波的抑制; 雨滴雜波抑制
rain clutter suppression 雨雪干擾抑制
rain-clutter suppression 雨雪干擾抑制
sea clutter suppression 海波干擾壓制; 海浪雜波抑制; 海面雜亂回波抑制
sea-clutter suppression 海浪雜波抑制
clutter n. 1.〔方言〕喧囂。 2.混亂，(房屋等)擁擠雜亂的一團。 vt. 〔英方，美〕弄亂，攪亂；亂七八糟地堆滿 (up, with)。 vi. 〔方言〕喧鬧，吵吵鬧鬧地跑 (along)。
in a clutter 雜亂
advertising clutter 擁擠廣告/廣告噪聲
anti clutter 抗干擾的
background clutter 背景雜斑［波; 背景雜波
cloud clutter 云的雜亂回波; 云干擾
clutter coefficient 雜波系數(shù)
clutter diagram 地物回波圖
clutter echo 混雜回音
clutter eliminator 雷達雜亂回波抑制器; 雜波消除器; 雜亂回波抑制器
clutter filter 反干擾濾波器; 防地物干擾濾波器; 靜噪濾波器; 雜波濾波器
clutter gating 避雜波選通; 混雜遮沒; 雜散回波選通
clutter lock 雜波鎖定
clutter map 雜波地圖
clutter noise 地物干擾; 雜波噪聲; 雜亂回波干擾
clutter reels 干擾音像帶

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例句與用法

Clutter suppression is critical to airborne early warning surveillance sensors
雜波抑制是機載預(yù)警雷達下視工作時的關(guān)鍵問題。
2 . we summarized the main methods of airborne radar clutter suppression and analyzed their performance and characteristics by much simulating . 3
2 .總結(jié)了機載雷達雜波的主要抑制方法,對它們的性能、特點進行了分析,并做了大量仿真。
The characteristics of the ground clutter are analyzed and presented . the development and the theories of clutter suppression of airborne radar are desicribed systematically
首先分析總結(jié)了地物雜波頻譜的組成特性,系統(tǒng)地闡述了機載雷達雜波抑制的基本理論及其發(fā)展動態(tài)。
The key to the settlement of the question of effective detection of ground and low air targets lies in adaptive of effective clutter suppression in airborne radar
因此,有效地抑制這種時間非平穩(wěn)和空間非平均的雜波干擾是雷達系統(tǒng)有效完成地面目標和低空飛行目標檢測必須解決的首要問題。
We summarized two - stap methods of airborne radar clutter suppression , analyzes their performance and characteristics by much simulating . 4 . a new technique of clutter suppression be developed which is base on 3dt ?
3 .分析了兩種- stap雜波抑制的方法,對他們的性能,特點進行了分析,并做了大量的仿真。
The method can hold not only for isar of flying target , but also for ground moving object and sea ship after adaptive clutter suppression . + the analysis of the algorithm of low - resolution radar is made
這個算法流程不但適用于isar空中運動目標成像，如果成像之前進行了雜波抑制也適用于地面運動目標和海面艦船目標成像。
This dissertation focuses on studying adaptive clutter suppression of airborne radar . it not only gives impetus to the application of adaptive filtering and spectral estimation but also have important significance to project development
本文對機載雷達雜波抑制技術(shù)進行研究,該研究對自適應(yīng)濾波和譜估計的快速實時應(yīng)用及工程研制具有重要意義。
Conventional airborne radar clutter suppression techniques utilize the diffrernce in doppler frequency domain between clutter and target returns to suppress clutter . doppler frequency domain one - dimension adaptive filtering , which usually used in main lobe clutter suppression
傳統(tǒng)的機載雷達地雜波抑制方法采用多普勒頻域一維自適應(yīng)濾波,即利用雜波和目標信號回波在多普勒頻域上的差別對雜波進行抑制。
This dissertation develops research work for some fields in which ground clutter suppression algorithm may be used for airborne phased - array radar , software design of 3dt - - stap algorithm with adaptive space - frequence steer vector algorithm is completed for clutter suppression realtime processing system based on tigersharc ts101 chip
本論文圍繞機載相控陣雷達的空時二維處理技術(shù)展開研究工作,主要任務(wù)是為系統(tǒng)選擇地雜波抑制的算法,并完成以浮點dsp芯片( ts101 )為核心的基于3dt
In this dissertation , the research trends for the problem have been introduced ; the ‘ dim ’ and ‘ point ’ has been strictly defined in mathematics from machine vision and human vision ; the ideal clutter suppression system based on clutter predication and the realization and evaluation of evaluation index has been studied , in succession the clutter suppression technologies have been researched . firstly , the classic nonparametric algorithm has been analyzed in detail and systematically , for it ’ s weakness that it cannot remove the non - stationary clutter ideally , kalman filter algorithm for clutter suppression in 2d image signal has been built . secondly , fast adaptive kalman filter is presented based on fast wide - sense stationary areas partition algorithm : limited combination and division algorithm based on quarti - tree algorithm , new taxis filter route algorithm which can break through the limitation of the necessity of pixel neighborhood of 2d filter and laplace data model with two parameters which is perfectly suitable for the residual image of kalman clutter suppression
首先分析了經(jīng)典的非參數(shù)法,對于四種具有代表性的核,從前述的三個性能評價方面做了分析和對比,指出了其速度快的優(yōu)點和對非平穩(wěn)圖像適應(yīng)性差的弱點,針對非參數(shù)法的弱點,重點研究了對非平穩(wěn)圖像適應(yīng)良好的卡爾曼雜波抑制技術(shù):建立了非平穩(wěn)圖像的類自回歸模型,在此基礎(chǔ)上建立了二維卡爾曼濾波基礎(chǔ)的兩個方程:狀態(tài)方程和測量方程;建立了非平穩(wěn)圖像準平穩(wěn)區(qū)域快速劃分算法:基于四叉樹法的有限分裂合并算法;二維空間的基于k排序的濾波路線算法,突破了空域濾波路線上區(qū)域相鄰的限制;在這些研究的基礎(chǔ)上實現(xiàn)了快速卡爾曼估計,實驗驗證了該方法相對逐點卡爾曼估計可以提高運算速度三倍左右;雜波抑制結(jié)果表明傳統(tǒng)的高斯性檢驗并不適合卡爾曼估計后的殘余圖像,由此建立了殘余圖像的雙參數(shù)拉普拉斯模型,實驗表明其可以完好的吻合殘余圖像的概率密度曲線。

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