摘要
针对传统雷达信号检测算法不准确以及计算量大、速度慢等的缺点,提出一种基于时频聚集性准则的GST-Hough变换信号检测算法。该算法依据提出的滑动窗口的标准偏差的聚集性准则,将改进的S变换和Hough变换相融合,同时结合基于奈曼-皮尔逊准则设计的门限,完成信号检测。仿真结果表明该算法在-14 dB下依然有很好的检测效果,同时在与其他算法的对比实验中得出,该算法在低信噪比条件下具有较好的检测能力,不依赖先验信息,适用性强。
Aiming at the shortcomings of the traditional radar signal detection algorithm,such as inaccuracy,large computation and slow speed,a signal detection algorithm of GST Hough transform based on time frequency clustering criterion is proposed.The algorithm integrates the improved S transform and Hough transform based on the aggregation criterion of the standard deviation of the sliding window,and completes the signal detection combined with the threshold based on the Neyman Pearson criterion.The simulation results show that the algorithm has good detection results below 14 dB.Compared with other algorithms,it is concluded that the algorithm has good detection ability under low SNR condition,does not rely on prior information,and has strong applicability.
作者
耿常青
王鸿超
王龙
熊智威
GENG Chang-qing;WANG Hong-chao;WANG Long;XIONG Zhi-wei(Aviation University of Air Force,School of Aviation Operations and Services,Jilin Changchun 130022,China;PLA,No.94691Troop,Fujian Longyan 366200,China)
出处
《现代防御技术》
2018年第6期80-86,108,共8页
Modern Defence Technology
基金
国家自然科学基金(61571462)
武器装备探索研究项目(7131464)
