一种频率步进雷达目标运动参数估计方法  

A Target Motion Parameter Estimation Method for Stepped Frequency Radar

作　　者：罗文茂[1] 崔应留 张云峰[3] LUO Wen-mao;CUI Ying-liu;ZHANG Yun-feng(Department of Telecommunication,Nanjing College of Information Technology,Nanjing 210023,China;School of Information Engineering,ISanjing Audit University,Nanjing 211815,China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science and Technology,Nanjing 210044,China)

机构地区：[1]南京信息职业技术学院通信学院,南京210023 [2]南京审计大学信息工程学院,南京211815 [3]南京信息工程大学气象灾害预报预警与评估协同创新中心,南京210044

出　　处：《微波学报》2019年第6期84-88,共5页Journal of Microwaves

基　　金：国家自然科学基金(61170105);江苏省公共工程审计重点实验项目(GGSS2015-07)

摘　　要：为实现低信噪比下目标的精确运动补偿,提出基于Keystone变换和Morlet小波变换的方法估计低信噪比下目标速度和初始距离参数。在分析频率步进雷达运动目标回波信号基础上,首先采用Keystone变换法去除回波信号高次相位项,然后对回波信号做IFFT运算,再进行FFT操作,便可得到距离-速度二维参数谱。考虑低信噪比对参数估计的影响,文中将距离维参数谱通过Morlet小波变换去除噪声,进而获得目标运动参数的精确估计。最后计算机仿真实验进一步说明了该方法的有效性。In order to achieve accurate motion compensation of target in low signal-to-noise ratio(SNR), a method based on Keystone transform and Morlet wavelet transform is proposed to estimate the velocity and initial distance parameters of target in low SNR. On the basis of analyzing the echo signal of moving target in stepped frequency radar, the Keystone transform method is used to remove the high-order phase terms of the echo signal, then IFFT operation is performed on the echo signal, and FFT operation is performed to obtain the range-velocity two-dimensional parameter spectrum. Considering the influence of low SNR on parameter estimation, the range parameter spectrum is de-noised by Morlet wavelet transform, and then the accurate estimation of target motion parameters are obtained. Finally, the computer simulation experiment further illustrates the effectiveness of the proposed method.

关 键 词：频率步进 KEYSTONE变换 参数估计 MORLET小波 低信噪比 

分 类 号：TN957.51[电子电信—信号与信息处理]