高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于SαS分布的高斯化处理研究

王平波 代振 卫红凯

王平波, 代振, 卫红凯. 基于SαS分布的高斯化处理研究[J]. 电子与信息学报, 2020, 42(9): 2239-2245. doi: 10.11999/JEIT190539
引用本文: 王平波, 代振, 卫红凯. 基于SαS分布的高斯化处理研究[J]. 电子与信息学报, 2020, 42(9): 2239-2245. doi: 10.11999/JEIT190539
Pingbo WANG, Zhen DAI, Hongkai WEI. Study of Gaussianization Processing Based on Symmetric Alpha-stable Distribution Modeling[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2239-2245. doi: 10.11999/JEIT190539
Citation: Pingbo WANG, Zhen DAI, Hongkai WEI. Study of Gaussianization Processing Based on Symmetric Alpha-stable Distribution Modeling[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2239-2245. doi: 10.11999/JEIT190539

基于SαS分布的高斯化处理研究

doi: 10.11999/JEIT190539
详细信息
    作者简介:

    王平波:男,1976年生,博士生导师,研究方向为水声信号处理、声呐作战使用等

    通讯作者:

    代振 1663548598@qq.com

  • 中图分类号: TN911.7

Study of Gaussianization Processing Based on Symmetric Alpha-stable Distribution Modeling

  • 摘要: 针对非高斯背景干扰下的弱信号检测需求,在综述高斯化处理与扩展匹配滤波概念及思路的基础上,该文提出了两种基于对称α稳定分布建模的高斯化处理方法,构建了相应的扩展匹配滤波检测器,并对比早先建立的混合高斯分布下的高斯化处理,对其高斯化效果、对应检测性能、运行速度等进行了仿真研究。研究表明,高斯化处理可以降低背景干扰的非高斯性,从而提高后续匹配滤波的检测性能;基于对称α稳定分布的高斯化处理,在保持性能的同时,具有更高的运行效率。
  • 图  1  不同非高斯情形下的Ugm滤波响应

    图  2  不同非高斯情形下的Ua滤波响应

    图  3  不同非高斯情形下的Ugc滤波响应

    图  4  EMF检测器构成

    图  5  各U滤波输出数据及其高斯型检验

    图  6  各EMF检测输出

    图  7  各种检测的ROC曲线

    表  1  各EMF运行时间统计比较(基于1000次检测)

    CMFEMF-UaEMF-UgcEMF-Ugm
    均值 (ms)0.37461.46990.411260.0990
    方差 (ms2)0.00140.00390.001243.6956
    下载: 导出CSV
  • 王平波. 主动声纳非高斯信号处理技术研究[D]. 海军工程大学, 2006.

    WANG Pingbo. Study on non-Gaussian signal processing in active sonar[D]. Naval University of Engineering, 2006.
    罗忠涛, 卢鹏, 张杨勇, 等. 大气噪声幅度分布与抑制处理分析[J]. 系统工程与电子技术, 2018, 40(7): 1443–1448. doi: 10.3969/j.issn.1001-506X.2018.07.05

    LUO Zhongtao, LU Peng, ZHANG Yangyong, et al. Analysis on amplitude distribution and suppression tech-niques of atmospheric noise[J]. Systems Engineering and Electronics, 2018, 40(7): 1443–1448. doi: 10.3969/j.issn.1001-506X.2018.07.05
    王平波, 蔡志明. 有色非高斯背景下微弱信号的Rao有效绩检验[J]. 电子学报, 2007, 35(3): 534–538. doi: 10.3321/j.issn:0372-2112.2007.03.031

    WNAG Pingbo and CAI Zhiming. The Rao efficient scores test of weak signals in colored non-Gaussian back-ground[J]. Acta Electronica Sinica, 2007, 35(3): 534–538. doi: 10.3321/j.issn:0372-2112.2007.03.031
    王平波, 蔡志明. 主动信号检测中干扰背景的高斯化处理[J]. 数据采集与处理, 2006, 21(4): 413–417. doi: 10.3969/j.issn.1004-9037.2006.04.008

    WANG Pingbo and CAI Zhiming. Gaussianization for background interference in active signal detection[J]. Journal of Data Acquisition &Processing, 2006, 21(4): 413–417. doi: 10.3969/j.issn.1004-9037.2006.04.008
    SHAO M and NIKIAS C L. Signal processing with frac-tional lower order moments: Stable processes and their applications[J]. Proceedings of the IEEE, 1993, 81(7): 986–1010. doi: 10.1109/5.231338
    RUPI M, TSAKALIDES P, and NIKIAS C L. Robust constant modulus array based on fractional lower order statistics [C]. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1999, 5: 2945–2948. doi: 10.1109/ ICASSP.1999.761380.
    WANG Pingbo, WEI Hongkai, HU Jinhua, et al. An adaptive beamforming algorithm for underwater acoustic signal based on α-stable distribution[C]. 2014 IEEE Workshop on Electronics, Computer and Ap-plications, Ottawa, Canada, 2014: 657–659. doi: 10.1109/IWECA.2014.6845705.
    ZHANG Guoyong, WANG Jun, YANG Guosheng, et al. Nonlinear processing for correlation detection in symmetric Alpha-stable noise[J]. IEEE Signal Processing Letters, 2018, 25(1): 120–124. doi: 10.1109/LSP.2017.2776317
    孟庆松, 王彬, 邵高平. α稳定分布噪声下水声线性调频信号的识别[J]. 系统工程与电子技术, 2018, 40(7): 1449–1456. doi: 10.3969/j.issn.1001-506X.2018.07.06

    MENG Qingsong, WANG Bing, and SHAO Gaoping. Recognition of underwater acoustic linear frequency mod-ulation signals in α stable distribution noise[J]. Systems Engineering and Electronics, 2018, 40(7): 1449–1456. doi: 10.3969/j.issn.1001-506X.2018.07.06
    彭成. 基于分数低阶统计量的非高信号处理技术研究[D]. 海军工程大学, 2014.

    PENG Cheng. Study on non-Gaussian signal processing based on fractional lower order statistics[D]. Naval Uni-versity of Engineering, 2014.
    王余, 王本猛, 卫红凯, 等. 对称α稳定分布特性及其参数估计方法研究[J]. 舰船电子工程, 2017, 37(4): 116–121. doi: 10.3969/j.issn.1672-9730.2017.04.029

    WANG Yu, WANG Benmeng, WEI Hongkai, et al. Sym-metrical alpha stable distribution and its parameter estima-tion method[J]. Ship Electronic Engineering, 2017, 37(4): 116–121. doi: 10.3969/j.issn.1672-9730.2017.04.029
    LI X T, SUN J, JIN L W, et al. Bi-parameter CGM model for approximation of α-stable PDF[J]. Electronics Letters, 2008, 44(18): 1096–1097. doi: 10.1049/el:20080955
    LI Xutao, JIN Lianwen, and WANG Shouyong. A simpli-fied non-gaussian mixture model for signal LO detection in a-stable interference[C]. 2008 Congress on Image and Signal Processing, Sanya, China, 2008: 403–407. doi: 10.1109/CISP.2008.89.
    李旭涛, 王首勇. α稳定噪声中基于双参数CGM模型的Rao检测[J]. 电子学报, 2011, 39(9): 2014–2018.

    LI Xutao and WANG Shouyong. BCGM based Rao detec-tion in α-stable noise[J]. Acta Electronica Sinica, 2011, 39(9): 2014–2018.
    LI Xutao, SUN Jun, WANG Shouyong, et al. Near-optimal detection with constant false alarm ratio in varying impulsive interference[J]. IET Signal Processing, 2013, 7(9): 824–832. doi: 10.1049/iet-spr.2013.0024
  • 加载中
图(7) / 表(1)
计量
  • 文章访问数:  2270
  • HTML全文浏览量:  854
  • PDF下载量:  94
  • 被引次数: 0
出版历程
  • 收稿日期:  2019-07-17
  • 修回日期:  2020-04-20
  • 网络出版日期:  2020-04-30
  • 刊出日期:  2020-09-27

目录

    /

    返回文章
    返回