复合高斯海杂波模型下最优相干检测进展

发布时间：2018-01-24 19:53

本文关键词： 海杂波复合高斯模型最优相干检测近最优相干检测计算可实现近最优检测方法　出处：《科技导报》2017年20期 　论文类型：期刊论文

【摘要】：不同于噪声背景下的目标检测,增加雷达发射功率对海杂波背景下的目标检测性能并不能带来重大的改善,因此海杂波的精细化建模和海杂波特性的充分利用成为改善目标检测性能的最重要途径。复合高斯模型是目前广泛使用的海杂波模型,为海杂波特性的精细描述提供了有力工具,而相应的最优检测理论和方法为目标检测性能改善提供了技术支持。本文综述复合高斯海杂波模型下最优及近最优相干检测理论和方法。首先,对K分布、广义Pareto分布及逆高斯纹理3种复合高斯模型进行了概述,并介绍了3种模型下已有的最优及近最优检测方法;然后,对目前复合高斯杂波加噪声混合模型下相干检测方法的进展和应用瓶颈进行了分析;最后,针对未来该方面研究的进一步完善,探讨了几种计算可实现近最优检测方法的研究思路。
[Abstract]:Different from the target detection in noise background, the performance of target detection under sea clutter background can not be greatly improved by increasing radar transmit power. Therefore, the fine modeling of sea clutter and the full use of sea clutter characteristics are the most important ways to improve the performance of target detection. It provides a powerful tool for the detailed description of sea clutter characteristics. The corresponding optimal detection theory and methods provide technical support for improving the performance of target detection. This paper summarizes the optimal and near-optimal coherent detection theory and method under the complex Gao Si sea clutter model. First, the K-distribution. The generalized Pareto distribution and inverse Gao Si texture three kinds of complex Gao Si models are summarized, and the existing optimal and near-optimal detection methods under the three models are introduced. Then, the development and application bottleneck of the coherent detection method under the mixed model of hybrid Gao Si clutter and noise are analyzed. Finally, aiming at the further improvement of the research in the future, this paper discusses the research ideas of several calculation methods which can realize the near optimal detection.
【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;
【分类号】：TN957.51
【正文快照】： 不同海杂波模型下的目标检测方法一直以来都是海雷达探测工作中的重要研究课题。当雷达分辨率较低时,根据中心极限定理,海杂波近似服从高斯分布,其幅度服从瑞利分布[1-2]。但在雷达高分辨率或低擦地角观测条件下,杂波呈现出强烈的时间非平稳特性和统计特性的空变特性[3-4]。研

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