雷达科学与技术2024，Vol.22Issue(1)：77-86,10.DOI:10.3969/j.issn.1672-2337.2024.01.011
基于多维矩特征联合的K分布杂波参数估计
Parameter Estimation of K-Distributed Clutter via Multidimensional Moment Feature Combination
摘要
Abstract
Parameter estimation of K-distributed clutter plays an important role in adaptive target detection for ma-rine radars.The traditional moment estimator solves the parameters by combining two moments and its performance is limited by the information of finite moments.Therefore,a parameter estimation method via multidimensional moment feature combination is proposed to expand the dimension of moment information.Firstly,multiple well-designed linear moments and logarithmic moments are extracted from the observed data to construct a feature vector.Secondly,the tradi-tional parameter estimation problem based on statistical distribution is transformed into a nonlinear optimization prob-lem.Thirdly,the gradient boosting decision tree(GBDT)algorithm is introduced to establish the functional relationship between the feature vector and the shape parameter to achieve the estimation of the shape parameter.Besides,it is proved that the feature vector is independent of the scale parameter and the second moment only depends on the scale parameter,so as to solve the relationship of the two parameters in estimation.Finally,the simulation and measured data results show that the proposed estimator can take advantage of the rich information of multiple moments to further im-prove the performance of parameter estimation.Especially for small shape parameters,its estimation performance is sig-nificantly better than the existing moment estimation methods and zrlog(z)expectation method.关键词
海杂波/K分布/参数估计/多维矩特征Key words
sea clutter/K-distribution/parameter estimation/multidimensional moment features分类
信息技术与安全科学引用本文复制引用
施赛楠,高季娟,李东宸..基于多维矩特征联合的K分布杂波参数估计[J].雷达科学与技术,2024,22(1):77-86,10.基金项目
国家自然科学基金(No.62201184) （No.62201184）
江苏省高等学校基础科学(自然科学)研究项目(No.21KJB510036) （自然科学）
