雷达科学与技术2011，Vol.9Issue(1)：72-76,5.
一种基于短采样数据的快速超分辨SSMUSIC算法
A New Low-Complexity Super-Resolution SSMUSIC Algorithm Based on Short Data Lengths
陈显舟 1韩静静 2李立萍1
作者信息
- 1. 电子科技大学电子工程学院,四川成都611731
- 2. 西华大学管理学院,四川成都610039
- 折叠
摘要
Abstract
In this paper, we propose a new fast super-resolution SSMUSIC(Signal Subspace Scaled MUSIC) algorithm for short data lengths based on CSA MSWF(Correlation Subtraction Algorithm Multi-Stage Wiener Filter) theory.The proposed MSWF SSMUSIC method has better angular performance and lower computational cost than MUSIC, particularly in the low signal-to-noise ratio(SNR) and small measurement support regimes.Also, it has lower computational burden than SSMUSIC algorithm with slight performance loss.The proposed approach is quite suitable for short data lengths or when the environment is quite dynamic, with improved performance and reduced computational load.Numerical results are presented to illustrate the effectiveness and validity of the proposed methodology.关键词
多级维纳滤波/短采样数据/测向/MUSIC算法/SSMUSIC算法/快速实现Key words
correlation subtraction algorithm multi-stage Wiener filter/ short data lengths/ MUSIC algorithm/ SSMUSIC algorithm/ lower computational burden分类
信息技术与安全科学引用本文复制引用
陈显舟,韩静静,李立萍..一种基于短采样数据的快速超分辨SSMUSIC算法[J].雷达科学与技术,2011,9(1):72-76,5.
