电子学报 ›› 2014, Vol. 42 ›› Issue (10): 1882-1886.DOI: 10.3969/j.issn.0372-2112.2014.10.002

• 学术论文 • 上一篇    下一篇

基于K-S检验的BPSK信号盲处理结果可信性评估

胡国兵1,2, 徐立中2, 高燕1, 吴珊珊1, 居美艳2   

  1. 1. 南京信息职业技术学院电子信息学院, 江苏南京 210023;
    2. 河海大学计算机与信息学院, 江苏南京 210098
  • 收稿日期:2013-07-15 修回日期:2013-10-25 出版日期:2014-10-25
    • 作者简介:
    • 胡国兵 男,1978年4月生,江苏高淳人.2011年于南京航空航天大学获工学博士学位.现为河海大学计算机与信息学院博士后、南京信息职业技术学院副教授,主要从事智能信号处理等方面的研究. E-mail:hugb@njcit.cn;徐立中 男,1958年生,山东东营人,博士,教授,博导,现任河海大学信息与通信工程一级博士点学科主任.主要从事多传感器系统与信息融合、遥感和遥测信号处理等方面的研究. E-mail:lzhxu@hhu.edu.cn
    • 基金资助:
    • 江苏省基础研究计划 (自然科学基金) (No.BK2011837); 江苏省政府留学基金 (No.JS-2007-105); 江苏省"333高层次人才培养工程" (No.BRA2013171)

Confidence Evaluation for Blind Processing Results of BPSK Signals via Kolmogorov-Smirnov Hypothesis Test

HU Guo-bing1,2, XU Li-zhong2, GAO Yan1, WU Shan-shan1, JU Mei-yan2   

  1. 1. School of Electronic Information, Nanjing College of Information Technology, Nanjing, Jiangsu 210023, China;
    2. College of Computer and Information Science, HoHai University, Nanjing, Jiangsu 210098, China
  • Received:2013-07-15 Revised:2013-10-25 Online:2014-10-25 Published:2014-10-25
    • Supported by:
    • Basic Research Program of Natural Science Foundation of Jiangsu Province,  China (No.BK2011837); Jiangsu Provincial Government Scholarship Program for Studying Abroad (No.JS-2007-105); 333 High-level Talents Cultivation Project in Jiangsu Province (No.BRA2013171)

摘要:

本文提出了一种基于K-S(Kolmogorov-Smirnov)分布拟合检验的BPSK信号盲处理结果可信性评估算法.首先建立了BPSK信号盲处理结果可信性评估的假设检验模型,而后根据调制识别结果对应的信号模型构造参考信号,提取其与观测信号相关后的相位序列.基于K-S分布拟合检验,比较相位序列概率分布与零假设下特定概率分布是否一致,以判决某次处理结果的可信与否.计算机仿真结果表明,本算法可在较低信噪比条件下,实现对BPSK信号盲处理结果的可信性检验.

关键词: 盲信号处理, 可信性评估, Kolmogorov-Smirnov检验

Abstract:

A confidence test method based on Kolmogorov-Smirnov hypothesis test is proposed to evaluate the blind processing results of BPSK signals.The hypothesis test model is created at first.The reference signals are constructed depending on the certain identified modulation result and the phase series are extracted from the correlation between the reference signals and the observed signals.By computing the empirical cumulative distribution function of the phase series and comparing it with the specific cumulative distribution function of phase series under null hypothesis, the K-S based confidence test is performed.Simulation results show that the proposed method can be used to verify the confidence for blind processing results of BPSK signals at low signal-to-noise ratio.

Key words: blind signal processing, confidence evaluation, Kolmogorov-Smirnov hypothesis test

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