一种干扰环境下基于决策树的直扩信号检测算法及试验验证  

A DSSS Signal Detection Algorithm Based on Decision TreeUnder Jamming Environment

作　　者：遵一涵 葛松虎 郭宇 崔中普 吴灏 ZUN Yihan;GE Songhu;GUO Yu;CUI Zhongpu;WU Hao(National Key Laboratory of Electromagnetic Energy,Naval University of Engineering,Wuhan 430033)

机构地区：[1]海军工程大学电磁能技术全国重点实验,武汉430033

出　　处：《舰船电子工程》2024年第11期165-171,共7页Ship Electronic Engineering

基　　金：国家自然科学基金项目(编号:62241111,62001497,62271497,61801502)资助。

摘　　要：针对传统的直接序列扩频(Direct Sequence Spread Spectrum,DSSS)信号检测方法在干扰环境下检测性能急剧下降的问题,论文提出了一种基于决策树的直扩信号检测算法。该方法首先提取信号的倒谱和时域互相关特征作为检测统计量,然后通过网格搜索法寻找最优门限,之后将检测统计量与门限进行比较,并利用决策树进行检测判决,最后对所提检测算法进行仿真分析与实验验证。仿真结果表明,所提方法具有良好的检测性能,检测率在干信比小于7 dB时,检测率大于98%。实验结果表明,所提算法与时域互相关检测法相比,正确率提高了1.46%。In order to solve the problem that the performance of traditional direct sequence spread spectrum signal detection method decreases sharply in interference environment,a new detection method based on cepstrum and time domain cross correlation is proposed in this paper.Firstly,features are extracted as detection statistics based on cepstrum and time-domain cross-correla⁃tion,and then the optimal threshold is found by grid search method.Then the detection statistics are compared with the threshold,and the detection decision is made by decision tree.Finally,the proposed detection algorithm is analyzed by simulation and verified by experiment.The simulation results show that the proposed method has good detection performance,and the detection rate is great⁃er than 98%when the ISR is less than 7 dB.The experimental results show that compared with the time-domain cross-correlation detection method,the accuracy of the proposed algorithm is increased by 1.46%.

关 键 词：直扩信号 倒谱 时域互相关 网格搜索法 决策树 

分 类 号：TN911.3[电子电信—通信与信息系统]