Statistical Characteristics Analysis Based on F/A-XX Fighter Using Adapative Kernel Density Estimation Algorithm  

作　　者：FU Li JIANG Guanwu HUANG Quanjun 傅莉;姜冠武;黄全军

机构地区：[1]School of Automation,Shenyang Aerospace University,Shenyang 110136,China [2]Shenyang Aircraft Design and Research Institute,Shenyang 110034,China

出　　处：《Journal of Shanghai Jiaotong university(Science)》2024年第6期1202-1210,共9页上海交通大学学报(英文版)

基　　金：the National Natural Science Foundation of China(Nos.61074090 and 60804025)。

摘　　要：The sixth-generation fighter has superior stealth performance,but for the traditional kernel density estimation(KDE),precision requirements are difficult to satisfy when dealing with the fluctuation characteristics of complex radar cross section(RCS).To solve this problem,this paper studies the KDE algorithm for F/AXX stealth fighter.By considering the accuracy lack of existing fixed bandwidth algorithms,a novel adaptive kernel density estimation(AKDE)algorithm equipped with least square cross validation and integrated squared error criterion is proposed to optimize the bandwidth.Meanwhile,an adaptive RCS density estimation can be obtained according to the optimized bandwidth.Finally,simulations verify that the estimation accuracy of the adaptive bandwidth RCS density estimation algorithm is more than 50%higher than that of the traditional algorithm.Based on the proposed algorithm(i.e.,AKDE),statistical characteristics of the considered fighter are more accurately acquired,and then the significant advantages of the AKDE algorithm in solving cumulative distribution function estimation of RCS less than 1 m2 are analyzed.

关 键 词：radar cross section(RCS) kernel density estimation(KDE) statistical properties 

分 类 号：TN95[电子电信—信号与信息处理]