首站-论文投稿智能助手
典型文献
A method of Robust low-angle target height and compound reflection coefficient joint estimation
文献摘要:
It is always a challenging issue for radar systems to estimate the height of a low-angle target in the multipath propagation environment. The highly deterministic maximum likelihood estimator has a high accuracy, but the errors of the ground reflection coefficient and the reflecting surface height have serious influence on the method. In this paper, a robust es-timation method with less computation burden is proposed based on the compound reflection coefficient multipath model for low-angle targets. The compound reflection coefficient is es-timated from the received data of the array and then a one-di-mension generalized steering vector is constructed to estimate the target height. The algorithm is robust to the reflecting sur-face height error and the ground reflection coefficient error. Fi-nally, the experiment and simulation results demonstrate the validity of the proposed method.
文献关键词:
作者姓名:
WANG Shenghua;CAO Yunhe;LIU Yutao
作者机构:
School of Communications and Information Engineering,Xi'an University of Posts and Telecommunications,Xi'an 710061,China;Science and Technology on Communication Networks Laboratory,Shijiazhuang 050081,China;National Laboratory of Radar Signal Processing,Xidian University,Xi'an 710071,China
引用格式:
[1]WANG Shenghua;CAO Yunhe;LIU Yutao-.A method of Robust low-angle target height and compound reflection coefficient joint estimation)[J].系统工程与电子技术(英文版),2022(02):322-329
A类:
timated
B类:
method,Robust,low,angle,height,compound,reflection,coefficient,joint,estimation,It,always,challenging,issue,radar,systems,estimate,multipath,propagation,environment,highly,deterministic,maximum,likelihood,estimator,has,accuracy,but,errors,ground,reflecting,surface,have,serious,influence,In,this,paper,robust,less,computation,burden,proposed,model,targets,from,received,data,array,then,one,mension,generalized,steering,vector,constructed,algorithm,Fi,nally,experiment,simulation,results,demonstrate,validity
AB值:
0.499956
相似文献
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。