分析了地杂波统计特性，研究了相关雷达杂波功率谱特性的AR模型及其模拟方法。
We analyse statistics properties of ground clutters and study AR model of correlated clutters power spectral density.
研究了信号及杂波、噪声在信号处理之后的统计特性，并通过仿真系统产生了目标回波数据及检测背景噪声。
This paper also studies the statistics characteristic of signal, clutter and noise after the system disposal, and generates target data and detecting background noise using the simulated system.
对C波段实测雷达海杂波数据进行了统计分析，并为分析杂波“拖尾”特性构造了修正的均方差检验法；
C band real radar sea-clutter data were analyzed and the modified mean square difference test for analyzing the "tail" of clutter was constructed.
针对红外背景杂波的统计特性，提出了一种改进型的空间匹配滤波算法。
According to the statistic characteristics of IR background clutter, an improved spatial matched filter (SMF) is presented.
鉴于目前最常用的K分布模型对各种海态下特别是低海态海杂波的统计特性拟合程度不高，提出了改进K分布模型。
In view of the lower fitting degree of commonly used K-distribution model for various sea, especially for low sea state cluster, an improved K-distribution model was proposed.
本文研究了在未知统计特性的局部均匀高斯杂波环境中的相干雷达极化自适应目标检测问题。
This paper deals with coherent radar polarimetric adaptive detection of targets in partially-homogeneous Gaussian clutter background with unknown covariance matrix.
推导了杂波功率统计特性的描述方法，给出了近海岸复合杂波仿真流程。
The simulation flow of generation of coastal compound clutter sequences is proposed by deducing the method for describing the statistic characteristic of clutter power.
杂波按照统计特性可以分为均匀杂波和非均匀杂波两类。
The Radar clutter can be classified into two types: homogeneous clutter and inhomogeneous clutter according to the statistical characteristic.
再次，统计获得目标及杂波区域的平均极化特性，采用非线性最优化方法实现了目标增强；
Finally, the target of interesting gains its enhancement by means of a non-linear optimization scheme.
再次，统计获得目标及杂波区域的平均极化特性，采用非线性最优化方法实现了目标增强；
Finally, the target of interesting gains its enhancement by means of a non-linear optimization scheme.
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