基于近似熵分析的 BPSK信号盲处理结果可信性校验

摘要

提出一种基于近似熵分析的BPSK信号盲处理结果可信性校验算法。先通过特定算法对信号进行调制方式盲识别及参数估计，而后根据识别结果对应的调制信号模型构造参考信号，并将参考信号与观测信号作相关累加运算。通过计算相关累加曲线原序与按升序重排后两者近似熵的差值，将BPSK信号盲处理结果的可信性检验问题转化对近似熵差是否大于零的检测。给出基于Bootstrap法的判决门限设置方法。计算机仿真结果表明，该算法在较低信噪比条件下，可实现对BPSK信号盲处理结果的可信性检验。%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) .