计算机应用与软件Issue(8)：127-131,5.DOI:10.3969/j.issn.1000-386x.2015.08.030
基于近似熵分析的 BPSK信号盲处理结果可信性校验
CREDIBILITY VERIFICATION FOR APPROXIMATE ENTROPY ANALYSIS-BASED BLIND PROCESSING RESULTS OF BPSK SIGNALS
摘要
Abstract
We proposed a credibility verification algorithm for approximate entropy ( ApEn ) analysis-based blind processing results of BPSK signals.First it makes blind recognition on signals’ modulation way and estimates their parameter through specific algorithm, then it constructs reference signals according to the modulation signal model corresponding to the recognition results, and conducts correlated cumula-tive sum ( CUSUM) on the observed signals and the reference ones.By calculating the difference between two ApEns of the correlated cumu-lative curve in original order and its rearrangement in ascending order, the algorithm converts the credibility test of BPSK signals blind pro-cessing result to testing whether or not the ApEns’ difference is greater than 0.The judgement threshold setting approach based on Bootstrap method is given in the paper.Simulation results on computer show that the proposed algorithm can realise the credibility verification for blind processing results of BPSK signals under the condition of low signal-to-noise ratio ( SNR) .关键词
盲信号处理/可信性校验/近似熵/Bootstrap方法Key words
Blind signal processing/Credibility verification/Approximate entropy/Bootstrap method分类
信息技术与安全科学引用本文复制引用
于宝明,吴珊珊,高燕,胡国兵..基于近似熵分析的 BPSK信号盲处理结果可信性校验[J].计算机应用与软件,2015,(8):127-131,5.基金项目
江苏省自然科学基金项目（ BK2011837）；江苏省“333高层次人才培养工程”项目（ BRA2013171）；江苏省高校科研成果产业化推进项目（ JH10－23）。 （）
