Search
ChatPaper
AI Writing
analysis
Analysis
编组
Open Data
more
More
RankingsMust ReadingJournal&ConferenceAI TRAI HistoryMaster Reading TreeXiaomai's Star TalentsTrajectoryTalentNDI TrackerAI sign LanguageOpen
VIPCreated with Sketch.

一种基于分块下三角分解的子空间GNSS抗干扰方法

Bin-bin SHI,Zhan WANG,Lin-jie QIAN,Zhu CHENG,Kan HUANGFU

Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology（2011）

Cited 1|Views4
No score
Abstract
通过SVD获得子空间的方法,适合于多变环境和较少数据样本情况,但计算量很大,限制了该方法的实时应用.在不降低性能的条件下,将SVD弱化为分块下三角分解,减少了提取子空间的复杂度,并给出基于Givens旋转的实现结构,具有结构简单,便于并行实现的优点.将该方法应用于GNSS抗干扰仿真实验,验证了其有效性.
More
Translated text
Key words
Givens rotation,GNSS,QR decomposition,Subspace projection,SVD
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined