基于时频分析-随机Hough变换的微动目标参数快速提取

发布时间：2018-03-20 14:05

本文选题：非线性调频信号　切入点：时频分析　出处：《南京大学学报(自然科学)》2017年06期 　论文类型：期刊论文

【摘要】：研究了微动目标的参数与其微多普勒特征之间的关系,针对旋转目标的微多普勒信号表现为三参数正弦调频信号的特点,提出了一种正弦调频信号参数快速提取算法.该方法对目标信号进行时频分析,并对分析的结果进行时频脊的提取,获得正弦调频信号的频率变换曲线.最后在提取的时频变换曲线上进行正弦曲线的随机Hough变换检测,从而得到正弦调频信号的参数估计.当信噪比较小时,该方法的估计精度优于Time Frequency Distribution-Hough(TFD-Hough)变换方法.当信噪比较大时,两种方法的估计精度相当,但该方法的运算时间优于TFD-Hough变换方法.仿真实验结果表明,相对于TFD-Hough变换方法,该方法的运算量明显减少,当信噪比为0时,该方法的运算时间约为TFD-Hough变换方法的19.9%.在计算精度方面,该方法的计算精度与TFD-Hough变换方法相当.
[Abstract]:The relationship between the parameters of the micro-moving target and its micro-Doppler characteristics is studied. The micro-Doppler signal of the rotating target is characterized by a three-parameter sinusoidal frequency modulation signal. A fast algorithm for extracting the parameters of sinusoidal frequency modulation signal is proposed. The target signal is analyzed by time-frequency analysis, and the time and frequency ridges are extracted from the result of the analysis. The frequency transform curve of sinusoidal FM signal is obtained. Finally, the random Hough transform of sinusoidal signal is detected on the extracted time-frequency transform curve, and the parameter estimation of sinusoidal FM signal is obtained. The estimation accuracy of this method is better than that of Time Frequency Distribution-Hough-TFD-Hough. when the signal-to-noise ratio (SNR) is high, the estimation accuracy of the two methods is the same, but the computation time of the two methods is better than that of TFD-Hough transform. When the SNR is 0:00, the computation time of this method is about 19.9. in terms of calculation accuracy, the accuracy of this method is equivalent to that of TFD-Hough transform method.
【作者单位】：南京大学电子科学与工程学院;
【基金】：江苏省基础研究计划(BK20151391)
【分类号】：TJ761.3;TN957.51

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