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为准确检测导弹与靶船的遭遇时刻,分析了靶船的海上运动状态,基于小波变换奇异信号检测原理提出了弹靶遭遇时刻小波变换的检测方法。针对导弹命中锚泊靶船的航向信号特征,采用Daubechies小波对靶船航向信号进行分解重构和阈值分割,分析得到奇异点,奇异点对应时刻即为弹靶遭遇时刻。试验结果表明,小波变换具有良好的信噪分离能力,对信号奇异点检测比傅里叶变换具有更好的优越性,能够准确检测弹靶遭遇时刻。
Abstract:In order to detect the meeting moment of missile and anchored target accurately,this paper analyzes the movement state of maritime target,puts forward a detection method of the meeting moment of missile and target based on wavelet transform. In view of the heading signal characteristic at the meeting moment of missile and anchored target,the Daubechies wavelet is used to implement the decomposition,reconstruction and threshold segmentation for the target heading signal,analyze and get the singular signal point. The time of singular signal point is the meeting moment of missile and target. The experiment results show that the wavelet transform has good separation capability for signal and noise,better superiority than Fourier transform in detecting singular signal point,can detect the meeting moment of missile and anchored target accurately.
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基本信息:
中图分类号:TJ06;TN911.23
引用信息:
[1]袁立群.基于小波变换的弹靶遭遇时刻检测方法[J].无线电工程,2014,44(03):40-42.
2014-03-05
2014-03-05