对数正态纹理距离相关性辅助的海杂波背景雷达目标检测方法

Radar Target Detection Aided by Log-Normal Texture Range Correlation in Sea Clutter

传统的海杂波背景雷达目标自适应检测器通常假设杂波纹理在距离维上独立同分布,忽略了纹理在距离维的相关性信息。为了改善纹理距离相关海杂波环境下雷达目标自适应检测性能,该文首先将复合高斯海杂波的纹理分量建模为对数正态随机变量,然后基于广义似然比检验提出一种基于均匀对数正态纹理的广义似然比检测器。提出的雷达目标自适应检测器融合了纹理的先验分布知识及其在距离维的相关性信息。仿真和所用实测数据表明,与已有检测方法相比,所提方法对纹理距离相关海杂波背景下的雷达目标具有更高的检测概率。

The traditional radar adaptive target detectors in sea clutter usually assumes that the clutter texture is independent and identically distributed in the range dimension,ignoring the correlation information of the texture in the range dimension.In order to improve the adaptive detection performance of radar targets in sea clutter with texture range correlation,the texture component of compound Gaussian sea clutter is modeled as a lognormal random variable,and then a generalized likelihood ratio test with homogeneous lognormal texture detector is proposed based on the generalized likelihood ratio test.The proposed detector uses the prior distribution of texture and the correlated information of texture range.The simulation and the measured data beging used show that the detection probability of this detector for radar targets in compound Gaussian sea clutter with texture range correlation is higher than that of the existing detectors.