基于小波变换的二相编码信号检测

J4 ›› 2011, Vol. 29 ›› Issue (6): 523-528.

基于小波变换的二相编码信号检测

宁辉¹|陈超²

1. 北京航空工程技术研究中心特设研究室|北京 100076；2. 空军航空大学航空电子
工程系|长春 130022

出版日期:2011-11-24 发布日期:2011-12-06
作者简介:宁辉（1971—）|女|吉林双辽人|北京航空工程技术研究中心高级工程师|主要从事航空电气研究|（Tel）86-13641159296（E-mail）ninghui1106@tom.com。

Detection of Two Phase-Code Signal Based on Wavelet Transform

NING Hui¹, CHEN Chao²

1. Research Office of Special Equipment, Beijing Aviation Engineering Technique Research Center, Beijing 100076, China|
2. Department of Aviation Electronical Engineering,Aviation University of Air Force, Changchun 130022,China

Online:2011-11-24 Published:2011-12-06

摘要/Abstract

摘要：

针对低信噪比条件下相位编码信号检测效果差的问题，运用粗细定位相结合的思想，采用双尺度小波变换对二相编码信号进行了研究。该方法在大尺度的模值点上，对信号的奇异点进行粗略定位；在小尺度的模值点上，对信号的奇异点进行精确定位，进而实现了对二相编码信号的检测。通过仿真实验表明，该算法在信噪比[JP2]优于0 dB的情况下，可以较好地完成信号的检测过程，当信噪比优于3 dB时，检测概率高于95%。

关键词: 小波变换；双尺度；二相编码信号；信号检测

Abstract:

For the detection of phase-code signal with low SNR(Signal-to-Noise Ratio), two phase-code signal was studied based on double-scale wavelet transform, according to the combination of rough orientation and accurate orientation. The modular maximum of big scale is used to find the range of the singularity, the exact point of the singularity is found on a small scale, so that the detection of two phasecode signal would be achieved. Through the computer emulation, this algorithm can realize the detection of the two phase-code signal accurately when the SNR exceeds 0 dB,detection probability would be upon 95% when the SNR exceeds 3 dB.

Key words: wavelet transform;double-scale;two phase-code signal;signal detection

中图分类号:

TN957.51

宁辉, 陈超. 基于小波变换的二相编码信号检测[J]. J4, 2011, 29(6): 523-528.

NING Hui, CHEN Chao. Detection of Two Phase-Code Signal Based on Wavelet Transform[J]. J4, 2011, 29(6): 523-528.

参考文献

[1] 赵兆，是湘全. 基于STFT和时变滤波的调频干扰抑制方法［J］. 探测与控制学报，2009，31(3)：46-50.
    ZHAO Zhao, SHI Xiangquan. FM Interference Suppression Based on STFT and TimeVarying Filtering［J］. Journal of Detection & Control, 2009, 31(3): 46-50.
［2］ GARDNER WILLIAM A. Exploitation of Spectral Redundancy in CyclostationAry Signals［J］．IEEE SPM，1991，8(2)：14-36．
［3］ STEFAN PITTNER，KAMARTHI SAGAR V．Feature Extraction from Wavelet Coefficients for Pattern Recognition Tasks［J］．IEEE Trans on Pattern Analysis and Machine Intelligence, 1999，21(1)：83-88．
［4］王坤达．基于新的小波基函数的二相编码信号检测［J］．舰船电子对抗，2006, 29（3）：19-21.
   WANG Kunda. Detection of TwoPhase Code Signal Based on New Wavelet Basis Function［J］. Shipboard Electronic Countermeasure, 2006, 29（3）：19-21.
［5］ VACCARO D D．Electronic Warfare Receiving Systems［M］．London：Artech House，1993．
［6］ DAUBECHIES I. The Wavelet Transform, Time Frequency Localization and Signal Analysis［J］. IEEE Trans Inform Theory, 1990, 36(5)：961-1005. 
［7］唐向宏，李齐良．时频分析与小波变换［M］．北京：科学出版社，2008：42-44．
   TANG Xianghong, LI Qiliang. TimeFrequency Analysis and Wavelet Transform［M］. Beijing: Science Press, 2008:42-44.
［8］胡广书．现代信号处理教程［M］．北京：清华大学出版社，2004:60-61．
   HU Guangshu. Morden Signal Processing Tutorial［M］. Beijing: Tsinghua University Press, 2004:60-61.
［9］郁春来，何明浩，张元发. 脉内相位编码雷达信号识别的小波变换方法［J］. 空军雷达学院学报，2003， 17(4)：13.
    YU Chunlai, HE Minghao, ZHANG Yuanfa. Wavelet Transform Based Identification Method for InPulse Phase Coding Signal［J］. Journal of Air Force Radar Ac
ademy, 2003, 17(4): 13.
［10］ BELOGAY E, WANG Y. Compactly Supported Orthogonal Symmetric Sealing Functions［J］. Appl Comput Harmon Anal, 1999, 7(2): 137-150.
［11］那云虓，司锡才，蒯冲．二相编码信号调制分析与识别［J］．系统工程与电子技术，2004，26(3)：299-303．
NA Yunxiao, SI Xicai, KUAI Chong．Modulation and Recognition of BPSK Signals［J］．Systems Engineering and Electronics, 2004, 26(3): 299-303.
［12］吕永震．基于小波奇异性检测的电力系统故障检测［J］．吉林大学学报:信息科学版，2009，27（2）：156161．
   LU Yongzhen. Power System Faults Detection Based on Singularity Detection of Wavelet［J］. Journal of Jilin University：Information Science Edition, 2009, 27
(2): 156-161.
［13］宋德亮，张国毅，齐丽君．小波降噪在相位差变化率定位技术中的应用［J］．吉林大学学报:信息科学版，2009，27（3）：235-241．
   SONG Deliang, ZHANG Guoyi, QI Lijun. Applying Wavelet DeNoising to Passive Location Technology Based on Phase Difference Rate of Change［J］. Journal of
Jilin University:Information Science Edition, 2009, 27(3): 235-241.