电子科技大学学报2012，Vol.41Issue(3)：364-367,4.DOI:10.3969/j.issn.1001-0548.2012.03.007
基于有限长样本数据的信噪比估计
SNR Estimation Based on Finite Sample Data
摘要
Abstract
This paper first demonstrate that signal subspace has finite dimensions from signal model. A conclusion is obtained by simulation test that both eigenvalues of signal subspace and noise subspace can't be evaluated precisely due to small size data. Then signal subspace dimensions are estimated accurately with Modified-AIC criterion using likelihood function depending only on noise space eigenvalues. A new robust SNR estimation method is proposed with the application of modified-AIC criterion. Regarding a variety of SNR and data size, simulation results show that the new method can be applied in lower SNR and shorter data samples environment关键词
有限长样本/信息论准则/信噪比/子空间Key words
finite sample data/ information criteria/ SNR/ subspace分类
信息技术与安全科学引用本文复制引用
廖红舒,魏平,李万春..基于有限长样本数据的信噪比估计[J].电子科技大学学报,2012,41(3):364-367,4.基金项目
中央高校基本科研业务费专项资金(ZYGX2D09J016) （ZYGX2D09J016）
