电子学报2024，Vol.52Issue(12)：3985-3993,9.DOI:10.12263/DZXB.20231133
基于间隔自相关的跳频跳时信号突发检测
Frequency Hopping/Time Hopping Signal Burst Detection Based on Interval Autocorrelation
摘要
Abstract
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.关键词
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Key words
radar interference/FH/TH signal/burst detection/sub channel/interval autocorrelation coefficient/fre-quency hopping frequency/combination threshold分类
信息技术与安全科学引用本文复制引用
赵慎,戴卫华,周开军,李世玲,覃业梅..基于间隔自相关的跳频跳时信号突发检测[J].电子学报,2024,52(12):3985-3993,9.基金项目
国家自然科学基金(No.61976088) （No.61976088）
湖南省重点研发计划(No.2024AQ2033) （No.2024AQ2033）
湖南省自然科学基金(No.2024JJ9188) National Natural Science Foundation of China(No.61976088) （No.2024JJ9188）
Key Research and Develop-ment Program of Hunan Province(No.2024AQ2033) （No.2024AQ2033）
Natural Science Foundation of Hunan Province(No.2024JJ9188) （No.2024JJ9188）
