一种多径环境下的雷达信号脉内调制分类方法

系统仿真学报 ›› 2016, Vol. 28 ›› Issue (5): 997-1002.

• 仿真建模理论与方法 • 下一篇

一种多径环境下的雷达信号脉内调制分类方法

江莉^1,2, 赵国庆¹, 李林¹

1.西安电子科技大学电子工程学院,西安 710071;
2.西安建筑科技大学信息与控制工程学院,西安 710055

收稿日期:2014-12-30 修回日期:2015-03-04 发布日期:2020-07-03
作者简介:江莉(1982-),女,陕西商洛,博士生,研究方向为智能信号处理;赵国庆(1953-),男,上海,硕士,教授,研究方向为电子战信息处理。
基金资助:
国家自然科学基金(61201287);中央高校基本科研业务费(JB140208)

Method for Modulation Recognition of Radar Signals in Complex Environment

Jiang Li^1,2, Zhao Guoqing¹, Li Lin¹

1. School of Electronic Engineering, Xidian University, Xi'an 710071, China;
2. School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China

Received:2014-12-30 Revised:2015-03-04 Published:2020-07-03

摘要/Abstract

摘要： 随着新体制雷达及复杂脉内调制方式的广泛应用,雷达信号调制分类与识别逐渐成为雷达侦察系统中的关键问题。通常截获信号总是存在多径干扰,导致现有调制分类算法的性能急剧下降。针对多径环境下复杂脉内调制雷达信号,研究了多径信号在模糊平面的特点,提出了一种基于高阶模糊函数与奇异值分解的特征提取方法,利用线性SVM(Support Vector Machine)分类器对不同类型的雷达信号进行调制分类。理论分析与仿真实验表明,提出的方法能够较好地抑制多径干扰的影响,在低信噪比环境下具有较高的识别率。

关键词: 雷达信号, 调制分类, 多径环境, 高阶时频分布

Abstract: As the increasing application of intra-pulse modulations, modulation recognition of radar signals becomes difficult in radar reconnaissance systems. Usually, there are multipath interferences along with the intercepted signal. The conventional methods become slowdown because of the multipath interferences. Aiming at radar signals in multipath channel, a feature extraction method was proposed based on higher order ambiguity function (AF) and singular vector decomposition, adopting the linear support vector machine (SVM) classifier to determine the types of the intercepted radar signals. Theoretical analysis and simulation results show that the proposed method has good ability to suppress the influence of multipath interferences and good accurate rate at low signal to noise ratios.

Key words: radar signal, modulation recognition, multipath channel, higher order time-frequency distribution

中图分类号:

TN971

江莉, 赵国庆, 李林. 一种多径环境下的雷达信号脉内调制分类方法[J]. 系统仿真学报, 2016, 28(5): 997-1002.

Jiang Li, Zhao Guoqing, Li Lin. Method for Modulation Recognition of Radar Signals in Complex Environment[J]. Journal of System Simulation, 2016, 28(5): 997-1002.

参考文献

[1] Tahbaz Tavakoli E, Falahati A.Radar signal recognition by CWD picture Features[J]. International Journal of Communications, Network and System Sciences (S1913-3723), 2012, 5(4): 238-242.
[2] 王晓峰, 张国毅, 芮国胜. 低信噪比下多相码信号检测与参数估计方法[J]. 西安电子科技大学学报(自然科学版), 2015, 42(1): 189-196.
[3] Zeng X, Cheng H, Tang B.Automatic modulation classification of radar signals using the Rihaczek distribution and Hough transform[J]. IET Radar, Sonar & Navigation (S1751-8784), 2012, 6(5): 322-331.
[4] Shermeh A E.Recognition of communication signal types using genetic algorithm and support vector machines based on the higher order statistics[J]. Digital Signal Processing (S1051-2004), 2010, 20(6): 1748-1757.
[5] Wong M L D, Nandi A K. Automatic digital modulation recognition using artificial neural network and genetic algorithm[J]. Signal Processing (S0165-1684), 2004, 84(2): 351-365.
[6] 刘沛, 水鹏朗, 郭永明, 等. 用于调制识别的二维累积量特征统计模型[J]. 西安电子科技大学学报(自然科学版), 2014, 41(2): 44-50.
[7] Geroleo F G.Detection and estimation of LFMCW radar signals[J]. IEEE Transactions on Aerospace and Electronic Systems (S0018-9251), 2012, 48(1): 405-418.
[8] Avci E, Avci D.A novel approach for digital radio signal classification: Wavelet packet energy-multiclass support vector machine (WPE-MSVM)[J]. Expert Systems with Applications (S0957-4174), 2008, 34(3): 2140-2147.
[9] 王大磊, 王秀秀, 韩啸. 基于半正定规划的SIMO信道盲均衡方法[J]. 华中科技大学学报(自然科学版), 2014, 42(12): 91-95.
[10] 李少根, 李文元, 冯兴乐. 恒模多用户检测算法在WCDMA中的应用及仿真[J]. 系统仿真学报, 2011, 23(5): 973-983.
[11] 李林, 姬红兵. 基于L-Wigner分布的多径ESM信号估计[J]. 系统工程与电子技术, 2009, 31(11): 2618-2621.
[12] Saad A Q, Lampros K S.Higher order nested Wigner distribution: properties and applications[J]. IEEE Transactions on Signal Processing (S1053-587X), 2006, 54(12): 4662-4674.
[13] 段向阳, 王永生, 苏永生. 基于奇异值分解的信号特征提取方法研究[J]. 振动与冲击, 2009, 28(11): 30-33.
[14] Shawe-Taylor J.A review of optimization in support vector machines[J]. Neurocomputing (S0925-2312), 2011, 74(17): 3609-3618.

一种多径环境下的雷达信号脉内调制分类方法

Method for Modulation Recognition of Radar Signals in Complex Environment

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 1

编辑推荐

Metrics

本文评价