检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
出 处:《火力与指挥控制》2014年第7期93-96,共4页Fire Control & Command Control
摘 要:传统的DOA估计方法不能有效分辨相干源目标;稀疏重构方法能够处理相干源的DOA估计问题,但现有稀疏重构方法大都是针对无噪声或仅存在观测噪声系统提出的,估计性能有待提高。对于同时存在观测噪声和模型噪声的多观测量模型,提出了一种基于FOCUSS稀疏重构的改进算法,可鲁棒地处理相干源、非相干源的DOA估计问题,有效提高分辨力和估计精度等估计性能。给出了DOA估计的稀疏信号模型以及新算法的推导过程,仿真实验证明了新算法在与其他算法对比时的优越性。Traditional DOA-estimation method cannot distinguish coherent sources effectively,the methods based on sparse reconstruction can resolve the problem of incoherent-resource DOA estimation,however,due to designed against to free-noise or only measurement-noise system,the estimation performance is improved. An improved algorithm is developed to DOA estimation based on FOCUSS against the Multiple-Measurement-Vectors (MMV) mOdel where measurement noise and model noise both exist. It can deal with DOA estimation of both coherent and incoherent resources robustly,and improve resolution power and estimation accuracy obviously. The sparse signal model of DOA estimation,the derivation of new algorithm are shown,and finally is proved the advantage of our method comparing to other methods through simulation experiments.
关 键 词:DOA估计 稀疏重构 FOCUSS改进算法 估计性能
分 类 号:TN911.72[电子电信—通信与信息系统]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:18.117.240.120