一种混响中高速运动目标检测方法

梁 红; 刘劲波

doi:10.11993/j.issn.1673-1948.2009.05.010

一种混响中高速运动目标检测方法

doi: 10.11993/j.issn.1673-1948.2009.05.010

梁红,
刘劲波

西北工业大学航海学院,陕西西安,710072

基金项目: 国防科技预研基金项目资助（07J4-2-7)

详细信息

作者简介:
梁红(1969- )，女，博士，副教授，研究方向为信号检测、估值与自适应信号处理.

中图分类号: U666.7
计量
- 文章访问数: 2288
- HTML全文浏览量: 1
- PDF下载量: 1038
- 被引次数: 0
出版历程
- 收稿日期: 2007-09-24
- 修回日期: 2008-07-30
- 刊出日期: 2009-11-30

A Method of High Speed Moving Target Detection in Reverberation

College of Marine Engineering, Northwestern Polytechnical University, Xi′an 710072, China

摘要

摘要: 水下主动探测不可避免的受到混响的干扰，运动目标在匀加速运动时，单频发射脉冲的回波信号经过距离压缩后可视为一个线性调频（LFM）信号，根据这些特点，利用分数阶傅立叶变换（FRFT）对LFM信号进行能量聚集性，并将4阶累积量作为后置处理算子抑制混响，研究了基于分数阶傅立叶变换的4阶累积量切片算法（FRFT-FOMCS) ，检测了混响中的高速运动目标，对实测混响数据和LFM信号进行了仿真，结果表明，该算法能够在混响背景中有效地检测和识别运动目标回波。
- 分数阶傅立叶变换 /
- 4阶累积量切片算法 /
- 线性调频信号 /
- 混响抑制 /
- 目标回波
Abstract: Based on the fact that linear frequency-modulated (LFM) signal has a good focusing property in fractional Fourier transform(FRFT) domain, a moving target detection method in the presence of reverberation is presented using FRFT combined with fourth-order mixed cumulant slice (FRFT-FOMCS). Some details for designing the FOMCS based on FRFT are discussed. The present FRFT-FOMCS algorithm is more suitable for detecting LFM signals than the FRFT algorithm. Simulation results show that the FRFT-FOMCS algorithm can effectively detect and identify high speed moving target echo in reverberation.
- fractional Fourier transform(FRFT) /
- fourth-order mixed cumulant slice (FOMCS) algorithm /
- linear frequency-modulated (LFM) signal /
- reverberation suppression /
- target echo

HTML全文

参考文献(7)

[1]	Carmillet V, Jourdain G. Low-speed Targets Sonar Detection Using Autoregressive Models in Reverberation; Experimental Performances for Wideband Signals ［C］// IEEE Oceanic Engineering Society Proceedings of the 1998 Oceans Conference.New York,NY,USA:IEEE, 1998:1285-1289.
[2]	蔡志明，郑兆宁，杨士莪. 水中混响的混沌属性分析［J］.声学学报，2002, 27(6): 497-501. Cai Z M,Zheng Z N,Yang S E.Chaos Characteristic Anslysis of Underwater Reverberation［J］.Acta Acustica,2002,27(6):497-501.
[3]	邓冰，陶然，齐林等. 基于分数阶傅里叶变换的混响抑制方法研究［J］. 兵工学报，2005, 26(6): 761-765. Deng B,Tao R,Qi L,Liu F.A Study on Anti-reverberation Method on Fractional Fourier Transform［J］.Acta Armamentarii,2005,26(6):761-765.
[4]	李志舜. 鱼雷自导信号与信息处理［M］. 西安：西北工业大学出版社，2004.
[5]	Namias V. The Fractional Fourier Transform and Its Application in Quantum Mechanics ［J］. J Inst. Math. Appl, 1980, 25(4):241-265.
[6]	Ozaktas H M, Arikan O, Kutay M A, etal. Digital Computation of the Fractional Fourier Transform ［J］.IEEE Trans. on Signal Processing, 1996, 44(9):2141-2150.
[7]	Anderson J M M, Giannakis G B. Harmonic Retrieval Using Higher Order Statistics: A Deterministic Formulation ［J］. IEEE Trans. on Signal Process, 1995, 43:1880-1889.