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基于间隔自相关的跳频跳时信号突发检测OA北大核心CSTPCD

Frequency Hopping/Time Hopping Signal Burst Detection Based on Interval Autocorrelation

中文摘要英文摘要

针对强雷达干扰下跳频跳时通信信号突发检测困难的问题,本文提出一种基于间隔自相关系数的检测方法.在每个跳频频率子信道上,以雷达最大脉宽为相关长度和间隔单元,分别取两段相邻信号计算间隔自相关系数,基于跳频跳时信号的间隔自相关系数远大于雷达脉冲、随机噪声相关系数的特征,通过逐点滑动和组合阈值方式,确定各子信道的突发时刻和结束时刻,并根据各子信道信号突发时间的衔接关系,完成跳频跳时通信信号的检测.仿真结果表明,在强干扰条件下,该方法能有效克服雷达干扰,对跳频跳时信号突发检测的检测概率接近于1.真实电磁环境试验结果表明,该方法受强雷达脉冲干扰影响小,可实现准确检测.

A detection method based on interval autocorrelation coefficient(IAC)is proposed to address the difficulty of burst detecting frequency hopping/time hopping(FH/TH)communication signal under strong radar interference.On each hopping frequency sub channel,the maximum pulse width of the radar is used as the correlation length and interval unit,and two adjacent signals are extracted to calculate the IAC.In terms of the feature that the IAC of the FH/TH signal is much greater than the correlation coefficient of the radar pulse and random noise,the detection of the FH/TH signal can be achieved by confirming the burst-time and end-time of each sub channel,which are determined by point-by-point sliding and combined threshold method,and utilizing the cohesive relation of the burst time of each sub channel.The simulation re-sults illustrate that,under the condition of strong interference,the proposed method can effectively overcome the radar inter-ference and the burst detection probability of FH/TH signal is nearly close to 1.The real electromagnetic environment test results state that the method is less affected by interference of strong radar pulse,and is able to achieve relatively accurate detection.

赵慎;戴卫华;周开军;李世玲;覃业梅

湖南工商大学智能工程与智能制造学院,湖南 长沙 410205信息工程大学信息系统工程学院,河南 郑州 450001湖南工商大学智能工程与智能制造学院,湖南 长沙 410205湖南工商大学智能工程与智能制造学院,湖南 长沙 410205湖南工商大学智能工程与智能制造学院,湖南 长沙 410205

电子信息工程

雷达干扰跳频跳时信号突发检测子信道间隔自相关系数跳频频率组合阈值

radar interferenceFH/TH signalburst detectionsub channelinterval autocorrelation coefficientfre-quency hopping frequencycombination threshold

《电子学报》 2024 (12)

3985-3993,9

国家自然科学基金(No.61976088)湖南省重点研发计划(No.2024AQ2033)湖南省自然科学基金(No.2024JJ9188) National Natural Science Foundation of China(No.61976088)Key Research and Develop-ment Program of Hunan Province(No.2024AQ2033)Natural Science Foundation of Hunan Province(No.2024JJ9188)

10.12263/DZXB.20231133

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