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大入射余角海杂波统计特性分析
Analysis of Sea Clutter Statistical Properties with Large Incident Complementary Angle
【Author】 CUI Ruoyan;WANG Wenguang;School of Electronic and Information Engineering, Beihang University;
【机构】 北京航空航天大学电子信息工程学院;
【摘要】 海杂波是海面因受到雷达照射而生成的散射回波,海杂波的存在会对雷达的探测造成许多不利的影响。海杂波的统计特性建模和仿真对提高雷达对海上物体的检测性能有着重要的意义。基于实测数据对大入射余角海杂波的统计特性进行了研究和分析,对瑞利分布、对数正态分布、韦布尔分布和K分布四种幅度统计模型进行了参数估计,讨论了入射余角对不同模型的参数的影响。在此基础上实现了以上四种模型以及KR分布模型与实测数据的拟合,并对不同模型的拟合程度进行了对比。
【Abstract】 Sea clutter is a kind of scattered echo generated by the sea surface being illuminated by radar. The existence of sea clutter will adversely worsen radar detection performance. Statistical characteristics modeling and simulation of sea clutter is of great significance to improve the detection capability of radars from the sea clutter.Based on the measured data, this paper analyzes the statistical characteristics of sea clutter with large incident complementary angles and estimates the parameters of Rayleigh distribution, lognormal distribution, Weibull distribution and K distribution. Moreover, the effects of incident complementary angles on the parameters of different models are discussed. On this basis, the four models and KR distribution model are fitted with the measured data,and the fitting effect of different models is compared.
【Key words】 sea clutter; large incident complementary angle; amplitude statistical model; parameter estimation;
- 【会议录名称】 第十五届全国信号和智能信息处理与应用学术会议论文集
- 【会议名称】第十五届全国信号和智能信息处理与应用学术会议
- 【会议时间】2022-08-19
- 【会议地点】中国重庆
- 【分类号】TN957.51
- 【主办单位】中国高科技产业化研究会智能信息处理产业化分会