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clutter noise
相关语句
  杂波噪声
     This paper introduced the estimation of clutter noise ratio and its application in MTD system in detail.
     详细介绍了杂波噪声功率比的估计方法及其在 MTD系统中的应用。
短句来源
     The detection of life signal under strong clutter produced by stationary objects such as wall was studied. Under the circumvents of SCR,radar can not detect the target because the produced Doppler frequency shift is very small and the echo signal is submerged into the clutter noise.
     主要研究在墙等固定物体强杂波背景下,对人体心跳、呼吸所产生的多普勒频移信号的检测和提取,由于生命信号是一种微弱的低速目标信号,将会产生位移量极小的Doppler频移,并且回波信号将会淹没在杂波噪声中,在SCR(low singnal-clutter-ratio)环境下,雷达不可能发现目标.
短句来源
  “clutter noise”译为未确定词的双语例句
     Under the practical condition,correction of range factor,clutter,noise and response of point target should be considered.
     在实际条件下考虑了距离校正因子、杂波、噪声和目标响应等因素 ,利用实际数据对天线方向图做了定量分析。
短句来源
     4. The dissertation studies in-depth the multi-aperture SAR MTDI based on along-track interferometry (ATI). It presents and describes the detecting processing in SAR image domain using double apertures and analyzes the influence of all kinds of factors including ground clutter, noise, signal-to-clutter, range velocity, multi-look processing and etc on the detection performance.
     4、深入研究了基于沿迹干涉衅1)技术的多孔径SAR系统地面动目标检测和成像方法,给出了采用ATI方法对两幅SAR复图像进行慢速目标检测的完整过程,详细分析了各种因素如杂波、噪声、目标信杂比、目标速度及多视处理等对检测性能的影响,并通过大量的仿真给予验证。
短句来源
     Signal model includes emitting signal, echo signal, clutter, noise and etc.
     信号模型主要包括:发射信号、目标回波、杂波、噪声等等;
短句来源
     Taking the range calibration factor, clutter, noise and target scattering characteristic into the consideration, the method of antenna pattern estimation and correction based on radar echo is proposed. The computer simulation is performed to prove the validity of this calibration method.
     考虑了距离校正因子、杂波、噪声和目标散射特性等因素后,给出基于脉压回波的天线方向图估计和校正的方法,并用计算机仿真验证了该方法的有效性。
短句来源
     In order to test the distribution model for real sampling data,some distribution models and their parameter estimation methods were given,based on the Cramer-Von Mises(CVM) distance test. Experiments were carried out to examine the distribution models of the real clutter noise in various sample length. The relative conclusions were drawn out.
     针对实际采集数据的模型分布问题,给出了几种常用分布模型及其参数估计方法,基于Cramer-Von Mises(CVM)距离检验模型分布方法,对实际杂波/噪声的分布模型在多种长度下的分布模型进行了实验,最后给出了相关结论.
短句来源
更多       
  相似匹配句对
     NOISE
     噪音
短句来源
     Noise
     噪声的危害与控制
短句来源
     Analyzed the ATI technique in the influence of clutter and noise.
     分析了杂波和噪声对干涉相位的影响情况,研究了相位门限法和双门限动目标检测法,并提出了一种自适应门限检测法。
短句来源
     Application of wavelet and morphology in the processing of radar PPI clutter & noise
     小波和形态学在雷达平面位置图像杂噪处理中的应用
短句来源
     Simulation of Sea Clutter
     海面杂波模拟
短句来源
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  clutter noise
Unfortunately, the CFAR detector is not immune to clutter noise like fluttering leaves or heavy rain.
      
The limitation of this method is presumption that a Gaussian stochastic process can approximate the clutter noise.
      
Multichannel radar detection considers the detection for the possible presence of a target at a given steering direction in background clutter/noise.
      
A more sophisticated model based recognition technique is required to be able to recognize weak targets in presence of substantial clutter noise.
      


This paper introduced the estimation of clutter noise ratio and its application in MTD system in detail. This method can improve adaptive performance for radar. Final result indicates the method is practical and effective.

详细介绍了杂波噪声功率比的估计方法及其在 MTD系统中的应用。该方法可提高雷达在杂波环境中的自适应性能 ,具有一定的实用价值

In order to conveniently detect dim moving targets in heavy video clutter, a method for suppressing heavy video clutter with a two-level spatial filter is proposed. The first-level filter with local mean removal (LMR) transforms original image data into two dimensional wide sense stationary signals, whose local means and variances vary so slowly in a large area. Then the second-level filter based on two-dimensional AR model parameter estimation suppresses the residual background clutter adaptively. The...

In order to conveniently detect dim moving targets in heavy video clutter, a method for suppressing heavy video clutter with a two-level spatial filter is proposed. The first-level filter with local mean removal (LMR) transforms original image data into two dimensional wide sense stationary signals, whose local means and variances vary so slowly in a large area. Then the second-level filter based on two-dimensional AR model parameter estimation suppresses the residual background clutter adaptively. The experimental results show that for the video target image under the condition of common noise, the residual noise obtained by this method presents good Gaussian performance and independence. The mean gain for signal-clutter noise ratio of the output target has attained 1.33dB. This is good for further detection.

为便于对复杂视频强杂波背景下的微弱运动目标进行检测,提出了一种两级空域滤波强杂波抑制方法。采用局域均值去除(LMR)作为一级滤波,将原始图像变换为较大局域内均值和方差缓变的二维广义平稳过程,再通过基于二维 AR 模型参数估计的二级滤波器自适应滤除残余杂波。实验结果表明,对于一般噪声条件下的视频目标图像,利用该方法处理后得到的残留噪声呈现出很好的高斯性和独立性,并且输出目标信号杂波噪声比(SCNR)的平均增益达到 1.33dB,有利于进一步的检测。

The paper studies the detection of life signal under strong clutter which produced by stationary objects such as wall.As a result of life signal is low velocity target and echo signal is submerged in clutter noise.Based on characters of multi-resolution of wavelet translation and reasonable wavelet cores selection,and Mallat scheme.The paper deals with life-signal extracting,clutter suppression and SNR improvement under strong clutter noise.Through life-signal decomposition,extraction and reconstruction...

The paper studies the detection of life signal under strong clutter which produced by stationary objects such as wall.As a result of life signal is low velocity target and echo signal is submerged in clutter noise.Based on characters of multi-resolution of wavelet translation and reasonable wavelet cores selection,and Mallat scheme.The paper deals with life-signal extracting,clutter suppression and SNR improvement under strong clutter noise.Through life-signal decomposition,extraction and reconstruction are all completed,these opertios produce precise results and experiment results show the method to be effectual and practical.

主要研究在墙等固定物体强杂波背景下,对人体心跳、呼吸所产生的多普勒频移信号的检测和提取,由于生命信号是一种微弱的低速目标信号,回波信号将会湮没在杂波噪声中。基于以上考虑,提出利用小波变换的多分辨率特性,选择合适的小波基,采用Mallat算法,主要完成在噪声背景下对生命信号的提取、抑制杂波、提高信噪比3个方面的研究,通过对目标信号的分解、通道提取以及目标信号重构,能更加精确、有效地提取目标信号,实时性和应用性更强。

 
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