基于逆高斯纹理空间相关性的雷达目标检测

发布时间：2018-04-26 23:03

本文选题：海杂波 + 逆高斯纹理　；参考：《系统工程与电子技术》2017年10期

【摘要】：高分辨海杂波可以采用复合高斯模型进行建模,纹理分量决定了杂波的非高斯特性以及后续的检测算法。传统自适应检测算法假设纹理在距离维独立同分布(independent and identically distributed,IID),忽略了实测海杂波纹理相关性。采用逆高斯分布建模纹理分量,提出了一种基于纹理空间相关性的自适应检测器。该检测器选取部分参考单元带入到似然比检测中,为待检测单元提供了散斑协方差矩阵信息和纹理信息。实测数据实验表明,该检测器相对于IID纹理假设下的最优检测器和自适应归一化匹配滤波器具有一定的性能提升。
[Abstract]:The high resolution sea clutter can be modeled with a composite Gao Si model. The texture component determines the non- characteristics of the clutter and the subsequent detection algorithm. The traditional adaptive detection algorithm assumes that the texture is independently distributed in the distance dimension independent and identically distributed IDD, and neglects the correlation of the measured sea clutter texture. The inverse Gao Si distribution is used to model the texture component and an adaptive detector based on texture spatial correlation is proposed. The detector selects part of the reference unit to be brought into the likelihood ratio detection, which provides speckle covariance matrix information and texture information for the unit to be detected. The experimental results show that the proposed detector has better performance than the optimal detector and the adaptive normalized matched filter under the IID texture assumption.
【作者单位】：西安电子科技大学雷达信号处理国家重点实验室;
【基金】：国家自然科学基金(61671357) 中央高校基本科研业务费专项资金(JB160224)资助课题
【分类号】：TN957.51

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