基于线性时-频变换的风廓线雷达间歇性杂波抑制

发布时间：2018-01-16 18:34

本文关键词：基于线性时-频变换的风廓线雷达间歇性杂波抑制　出处：《中国电子科学研究院学报》2017年01期 　论文类型：期刊论文

【摘要】：风廓线雷达大气湍流回波信号的识别常受到间歇性杂波的严重干扰。为了能够有效抑制并消除该类杂波,本文提出了基于线性时-频变换的间歇性杂波消除抑制算法。该算法采用具有线性时-频分布特性的短时傅里叶变换,获取雷达回波中杂波成分的调制频率参数,然后估计出相应分数阶傅里叶变换(FRFT)的最优阶数,最后再利用FRFT检测出杂波并对其抑制,通过信号重构回到时域,从而获取有效回波信号频谱。本文提出的方法与常规的FRFT最优阶数扫描法相比,将杂波检测二维搜索问题简化为一维峰值搜索问题,计算量大大降低。理论及计算机仿真表明,该方法效果明显,具有良好的工程应用前景。
[Abstract]:The identification of atmospheric turbulence echo signal of wind profile radar is often seriously disturbed by intermittent clutter in order to effectively suppress and eliminate this kind of clutter. In this paper, an intermittent clutter cancellation and suppression algorithm based on linear time-frequency transform is proposed, which adopts the short-time Fourier transform with linear time-frequency distribution. The modulation frequency parameters of clutter components in radar echo are obtained, and the optimal order of the corresponding fractional Fourier transform (FRFT) is estimated. Finally, the clutter is detected and suppressed by FRFT. The frequency spectrum of effective echo signal is obtained by signal reconstruction back to time domain. The proposed method is compared with the conventional FRFT optimal order scanning method. The two-dimensional search problem of clutter detection is simplified to one-dimensional peak search problem, and the computational complexity is greatly reduced. The theoretical and computer simulations show that the method is effective and has a good prospect of engineering application.
【作者单位】：南京信息工程大学电子与信息工程学院;江苏省涟水县气象局;
【基金】：国家自然科学基金资助项目(61302188)
【分类号】：TN957.51
【正文快照】： 谐波平稳信号。因此本文采用的单次风廓线雷达回0弓丨言波信号模型设有两个分量信号组成:s(t)-5,(0+S2(t) (1)晴空大气湍流是大气风场的一个重要表征参式中,S,(t)为正弦谐波平稳信号内(t)为高斯阻尼量,而风廓线雷达是其主要的探测手段之一[1’2M。线性调频连续波信号,二者

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