激光与光电子学进展, 2015, 52 (9): 092802, 网络出版: 2015-08-28   

膛内目标有效信号自动提取方法

A Method of Automatic Extraction of Effective Signal of Target in Interior Ballistics
作者单位
中北大学山西省信息探测与处理技术重点实验室, 山西 太原 030051
摘要
雷达回波信号的有效提取是影响后续膛内多普勒信号处理的关键环节,目前内弹道工程应用中通常采用手动截取,该方法的误差较大、精度较低。针对上述问题,提出了一种雷达回波信号的自动提取方法。首先截掉明显的无用噪声部分,然后根据短时傅里叶变换(STFT)时频分析方法结合多普勒原理求出整段信号的速度,并判断出最大速度点作为有效信号的终点,利用改进的多时窗能量比法判定信号的起点。仿真信号及实际信号的实验结果表明,该方法对有效信号起点与终点提取的平均误差为0.1875 μs。
Abstract
The effective extraction of radar echo signal is a key step in the process of Doppler signal processing in interior ballistics. Currently manual interception is usually adopted in the engineering application. The method often causes high error and low precision. Aiming at these problems, an effective method of Doppler signal automatic extraction is proposed. The obvious noise can be intercepted. According to the principle of Doppler, the method uses short-time Fourier transform (STFT) to acquire the velocity of the entire signal. The maximun velocity point is judged as the terminal point for the effective signal. The improved method of multiple-window energy ratio is adopted to determine the starting point. The experimental results through simulated signal and actual signal show that the average error of the method to extract the starting points and terminal points of the effective signal is 0.1875 μs.
参考文献

[1] 孔伟, 王宝军, 张智源, 等. 内弹道多普勒信号处理方法[J]. 弹箭与制导学报, 2013, 33(3): 143-145.

    Kong Wei, Wang Baojun, Zhang Zhiyuan, et al.. The processing method of the interior ballistic Doppler signal[J]. Journal of Projectiles Rockets Missiles and Guidance, 2013, 33(3): 143-145.

[2] 吕世超. 微地震有效事件识别及震源自动定位方法研究[D]. 北京: 中国石油大学, 2011.

    Lü Shichao. Automatic Detection and Location of Microseismic Events[D]. Beijing: China University of Petroleum, 2011.

[3] 彭明金, 李智. 基于希尔伯特-黄变换的激光微多普勒信号分析与特征提取[J]. 中国激光, 2013, 40(8): 0809004.

    Peng Mingjin, Li Zhi. Analysis and feature extraction of laser micro-Doppler signatures based on Hilbert-Huang transforms [J]. Chinese J Lasers, 2013, 40(8): 0809004.

[4] 王玮, 顾国华, 何伟基, 等. 基于MeanShift 算法的光子多普勒测速信号提取方法研究[J]. 中国激光, 2014, 41(11): 1108006.

    Wang Wei, Gu Guohua, He Weiji, et al.. Extraction method of photon Doppler velocimetry signal based on MeanShift algorithm[J]. Chinese J Lasers, 2014, 41(11): 1108006.

[5] Yao S, Fang S, Wang X, et al.. Parameter estimation for HFM signals using combined STFT and iteratively reweighted least squares linear fitting[J]. Signal Processing, 2014, 99(1): 92-102.

[6] 燕帅, 尚建华, 刘玉英, 等. 小波消噪在外差式激光多普勒振动测量中的应用[J]. 激光与光电子进展, 2012, 49(8): 081203.

    Yan Shuai, Shang Jianhua, Liu Yuying, et al.. Wavelet denoising for heterodyne laser Doppler vibrometer[J]. Laser & Optoelectronics Progress, 2012, 49(8): 081203.

[7] 路士增, 姜明顺, 隋青美, 等. 基于小波变换和支持向量多分类机的光纤布拉格光栅低速冲击定位系统[J]. 中国激光, 2014, 41(3): 0305006.

    Lu Shizeng, Jiang Mingshun, Sui Qingmei, et al.. Identification of impact location by using fiber Bragg grating based on wavelet transform and support vector classifiers[J]. Chinese J Lasers, 2014, 41(3): 0305006.

[8] 刘帆, 金世龙, 刘军. 基于混合编程的高精度激光多普勒信号处理技术[J]. 中国激光, 2012, 39(s1): s109003.

    Liu Fan, Jin Shilong, Liu Jun. High accuracy signal processing technology in laser Doppler velocimeter based on mixed programming[J]. Chinese J Lasers, 2012, 39(s1): s109003.

[9] 罗光. 高密点地震信号废道自动识别及初至拾取方法研究[D]. 南京: 南京理工大学, 2012.

[10] 徐钰, 段卫星, 徐维秀, 等. 高精度初至自动拾取综合方法研究[J]. 物探与化探, 2010, 34(5): 595-599.

    Xu Yu, Duan Weixing, Xu Weixiu, et al.. The improvement of automatic first break picking based on energy ratio[J]. Geophysical & Geochemical Exploration, 2010, 34(5): 595-599.

杨梦玲, 苏新彦, 王鉴, 姚金杰. 膛内目标有效信号自动提取方法[J]. 激光与光电子学进展, 2015, 52(9): 092802. Yang Mengling, Su Xinyan, Wang Jian, Yao Jinjie. A Method of Automatic Extraction of Effective Signal of Target in Interior Ballistics[J]. Laser & Optoelectronics Progress, 2015, 52(9): 092802.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!