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clutter noise ratio
相关语句
  杂波噪声功率比
    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。
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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。

 
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