矩阵的特征分解
计算机科学
干扰(通信)
信号子空间
信号(编程语言)
算法
接头(建筑物)
到达方向
天线(收音机)
子空间拓扑
单天线干扰消除
投影(关系代数)
卫星
噪音(视频)
特征向量
电信
计算机视觉
人工智能
解码方法
工程类
物理
航空航天工程
频道(广播)
建筑工程
程序设计语言
图像(数学)
量子力学
作者
Tianyao Long,Qiang Li,Lei Huang,Hanfei Zhou,Lifang Feng,Deyin Xia
标识
DOI:10.1109/sam53842.2022.9827844
摘要
Fast and accurate source number detection and direction of arrival (DOA) estimation are of considerable interest in satellite navigation receiver with antenna arrays. Normally, the number of sources is assumed to be known perfectly, however, is unknown in practice. This paper develops a computationally efficient joint estimation method of satellite signal number and DOA by designing a shared multistage Wiener filter (MSWF). First, considering complicated interference, such as broadband interference, the spatial-temporal signal processing model is adopted to increase the degree of freedom of antenna array. Then, using the principle of orthogonal projection and signal subspace reconstruction of MSWF, the enhanced Gerschgorin radii and satellite signal subspace without eigenvalue decomposition (EVD) are reformulated, respectively. At last, using the so-obtained signal number, both the DOAs and the frequencies of satellite signal and interference can be accurately estimated by multiple signal classification (MUSIC) in the spatial-temporal joint domain. Numerical results are presented to demonstrate the performance of the method.
科研通智能强力驱动
Strongly Powered by AbleSci AI