西华大学学报（自然科学版）2017，Vol.36Issue(4)：5-12,26,9.DOI:10.3969/j.issn.1673-159X.2017.04.002
基于隐马尔可夫模型的调频广播信号整点报时特性识别方法
Time Announcing Feature Recognition of Frequency Modulation Broadcast Signals Based on Hidden Markov Model
摘要
Abstract
As whether it has the time signal in broadcasting or not is one of the important indicators to distinguish the legal radios from the illegal radios,this paper proposes a recognition method of the time announcing feature of the frequency modulation broadcast signals based on the Hidden Markov Model theory.With mute recognition algorithm,the time spectrum data of the frequency modulation broadcast is transformed as a 0-1 sequence,and the mute sequences are analyzed in 0-1 sequence,and hide states and observable states random sequences are final obtained.After the sub intervals are divided,initial hide states transformation matrix and observable states probability matrix are achieved.By learning hide states transformation and observable states probability matrixes based on Baum-Welch algorithm and training samples,Hidden Markov Model of the time telling and non-time telling of frequency modulation broadcast signals are established and the time announcing feature recognition algorithm is provided.The practical monitoring data of frequency modulation broadcast are utilized to perform the time announcing feature recognition experiment.The results indicate that the proposed method is capable of recognizing the FM broadcasting time announcing feature,and the average rate of recognition is equal to 87.5%.The proposed method has practical value in detecting the frequencies that are illegally occupied efficiently.关键词
调频广播/整点报时/隐马尔可夫模型/黑广播/Baum-Welch算法Key words
the frequency modulation broadcast/time announcing/Hidden Markov Model/illegal radio/Baum-Welch algorithm分类
信息技术与安全科学引用本文复制引用
刘越智,裴峥,陈子春,孔明明,马方立..基于隐马尔可夫模型的调频广播信号整点报时特性识别方法[J].西华大学学报（自然科学版）,2017,36(4):5-12,26,9.基金项目
国家自然科学基金(61372187) （61372187）
