基于时频分析－随机Hough变换的微动目标参数快速提取

南京大学学报(自然科学版) ›› 2017, Vol. 53 ›› Issue (6): 1178–.

基于时频分析－随机Hough变换的微动目标参数快速提取

陈沁根，张兴敢*

出版日期:2017-11-28 发布日期:2017-11-28
作者简介:南京大学电子科学与工程学院，南京，210023
基金资助:
基金项目：江苏省基础研究计划(BK20151391)
收稿日期：2017－04－25
*通讯联系人，E－mail：zhxg@nju.edu.cn

Rapid extraction of parameters of Micro－Motion target based on time－frequency analysis and random Hough transformation

Chen Qin’gen，Zhang Xinggan*

Online:2017-11-28 Published:2017-11-28
About author: School of Electronics Science and Engineering，Nanjing University，Nanjing，210023，China

摘要/Abstract

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 distinction of warhead and decoys is one of the main technological bottlenecks in ballistic missile defense system，which determines the success or failure of the anti－missile system to some extent.Micro－motion is commonly referred to small mechanical vibrations or rotation in addition to mass translation which may induce additional frequency modulation on the received target echoed signal，called micro－Doppler effect.In academia，the characteristic of micro－motion is considered as one of the most effective features in ballistic midcourse target recognition.The extraction of the micro－motion characteristics offers new measures for target recognition in ballistic missile defense，and it plays an important role in target recognition.This paper addresses the relationship between parameters of the micro－motion of micro－target and their micro－Doppler features.Based on the characterization of micro－Doppler signal of rotation target featuring sinusoidal frequency modulation signal with three parameters，we proposed a rapid extraction algorithm with small amount of calculation for sinusoidal frequency modulation signal parameters.Firstly，the time－frequency analysis was used to deal with the signal of the target.Secondly，the time－frequency ridge extraction was utilized to get the curve of the frequency conversion.Finally，the random Hough transformation of sinusoidal curve was applied to evaluate the time－frequency curve which is gotten by time－frequency ridge.When the signal to noise ratio(SNR)is small，the estimation precision of the method given in this paper is better than Time Frequency Distribution Hough transformation(TFD－Hough)and when SNR is relatively large，the estimation accuracy of two methods is equivalent.Results of the simulation experiments indicated that compared with TTFD－Hough，the method given in this paper has a greater advantage in calculated amount.When the SNR is 0，the computation time of the method is about 19.9% of TFD－Hough and when the SNR is －10 dB，the computation time of the method is only 11.2% of TFD－Hough.

陈沁根，张兴敢*. 基于时频分析－随机Hough变换的微动目标参数快速提取[J]. 南京大学学报(自然科学版), 2017, 53(6): 1178–.

Chen Qin’gen，Zhang Xinggan*. Rapid extraction of parameters of Micro－Motion target based on time－frequency analysis and random Hough transformation[J]. Journal of Nanjing University(Natural Sciences), 2017, 53(6): 1178–.

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