BPSK信号盲处理结果的可靠性检验算法

摘要

A reliability test based on lack of fit test is proposed to evaluate the blind processing results of BPSK signals. Without a priori knowledge for the signals, the reference signals are constructed based on the certain modulation model in accordance to the identification result. By analyzing the linear regression characteristics of the modulus of the correlation series, the reliability test problem for BPSK signals is boiled down to a lack of fit test for linear regression of the correlation series. Simulation results show that the proposed method can be used to verify the reliability for blind processing results of BPSK signals at low signal-to-noise ratio.%研究了BPSK信号盲处理结果的可靠性检验问题,提出了一种基于线性回归失拟分析的检验算法.该方法在无信号先验知识的条件下,先根据调制识别结果对应的信号模型构造参考信号,在分析参考信号与观测信号相关累加后模值曲线线性回归特性的基础上,将BPSK信号盲处理结果的可靠性检验问题转化对相关累加后模值曲线线性回归的失拟检验问题.计算机仿真结果表明,本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靠性检验.