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The Technology of Line-spectrum Enhancement Based on Image Processing

机译:基于图像处理的线频谱增强技术

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Time-frequency spectrogram analysis is a basic method in passive radar and sonar. It's necessary to enhance the line-spectrum to improve the performance in low SNR(Signal to Noise Ratio) and strong interference presented that wider detecting range and long reacting time can be obtained. The traditional line-spectrum enhancing technology based on signal's coherence can't work well in very low SNR, and the performance will drop sharply when the line-spectrums are close in frequencies or the number of line-spectrums increases. A new method which combines image processing with signal processing is brought out to overcome these defects. It can work well when the SNR in frequency domain is close to 0dB, which is much lower than ALE and other traditional technology. The results derived from simulation and trial data analysis show that it' s stable and can be applied in the field with line-spectrums.
机译:时频谱图分析是被动雷达和声纳的基本方法。有必要增强线频谱以提高低SNR(信噪比)的性能,并且可以获得更宽的检测范围和长反应时间的强干扰。基于信号的连贯性的传统线路频谱增强技术在非常低的SNR中不能很好地运行,并且当线频谱靠近频率或线频率的数量增加时,性能会急剧下降。结束了一种与信号处理相结合的新方法以克服这些缺陷。当频域中的SNR接近0dB时,它可以很好地工作,这远远低于ALE和其他传统技术。源自仿真和试验数据分析的结果表明它是稳定的,可以在具有线频谱的字段中应用。

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