Journal of Guangxi Normal University(Natural Science Edition) ›› 2016, Vol. 34 ›› Issue (2): 35-45.doi: 10.16088/j.issn.1001-6600.2016.02.006

Previous Articles     Next Articles

A Novel QPSK Signal Demodulation Method Based on Wavelet Transform

CHEN Jin, LUO Xiaoshu   

  1. College of Electronic Engineering, Guangxi Normal University, Guilin Guangxi 541004,China
  • Received:2015-12-10 Online:2016-06-25 Published:2018-09-14

Abstract: According to the characteristics of the time-frequency analysis of the wavelet transform, a novel QPSK(quadrature phase shift keying) signal demodulation method in the communication system is proposed. The novel demodulation method for QPSK signal is different from the traditional demodulation method. First of all, it can directly extract and decide the frequency and phase (equivalent to the instantaneous value) of the received QPSK signal and it is a time-frequency detection method which has the multi-resolution properties; second, it is a "blind detection" method without strict synchronization between the transmitter signal and receiver signal. The computer simulation results show that the novel signal demodulation method has better performance than the traditional one in anti-noise property and robustness of anti complex channel.

Key words: wavelet transform, time-frequency analysis, QPSK, blind detection, robustness

CLC Number: 

  • TN911
[1] 陈健,阔永红,李建东,等.基于小波变换的数字调制信号识别方法的研究[J].电子与信息学报, 2006, 28(11): 2026-2029.
[2] 高勇,黄振,陆建华.基于小波变换的MDPSK信号盲解调算法[J].清华大学学报(自然科学版),2009,49(8): 1172-1175. DOI:10.16511/j.cnki.qhdxxb.2009.08.018.
[3] 王红星,王洪利,毛忠阳.基于时频分布的扩展的二元相移键控信号解调算法[J].吉林大学学报(工学版), 2011, 41(5): 1491-1496. DOI:10.13229/j.cnki.jdxbgxb2011.05.024.
[4] GAO Yong, LI Mu, HUANG Zhen, et al. A symbol rate estimation algorithm based on Morlet wavelet transform and autocorrelation [C]//IEEE Youth Conference on Information, Computing and Telecommunication. Piscataway, NJ: IEEE Press, 2009: 239-242. DOI:10.1109/YCICT.2009.5382378.
[5] HOSSEN A, AL-WADAHI F. A two-stage network for modulation classification based on entropy of wavelet transform[C]//Proceedings of 3rd International Conforence: Sciences of Electronic,Technologies of Information and Telecommunications,TUNISIA,2005,27-31.
[6] MENG Lingling, SI Xiujie. An improved algorithm of modulation classification for digital communication signals based on wavelet transform[C]//2007 International Conference on. Wavelet Analysis and Pattern Recognition: Volume 3. Piscataway, NJ:IEEE Press, 2007: 1226-1231. DOI:10.1109/ICWAPR.2007.4421621.
[7] HO K M. Automatic recognition and demodulation of digitally modulated communications signals using wavelet- domain signatures[D]. New Brunswick, NJ: Rutgers University, 2010. DOI:10.7282/T3XS5VJT.
[8] 袁晔, 梅文博. 基于时频域特征和分层决策的通信信号调制识别[J]. 系统工程与电子技术, 2005, 27(6): 991-994.
[9] 冯旭哲, 杨俊, 罗飞路. 基于小波变换的通信信号码元速率估计[J]. 系统仿真学报, 2008, 20(5): 1259-1261, 1320. DOI:10.16182/j.cnki.joss.2008.05.023.
[10] HO K C, PROKOPIW W, CHAN Y T. Modulation identification of digital signals by the wavelet transform[J].IEE Proceedings: Radar, Sonar and Navigation, 2000, 147(4): 169-176. DOI:10.1049/ip-rsn:20000492.
[11] 欧鑫, 黄小蔚, 袁晓, 等. 类 Haar 小波与数字信号调制识别[J]. 四川大学学报(工程科学版), 2004, 36(4): 95-98.
[12] WANG Long, ZHANG Gengxin, BIAN Dongming, et al. Blind symbol rate estimation of satellite communication signal by Haar wavelet transform[J]. Journal of Electronics (China), 2011, 28(2): 198-203. DOI:10.1007/s11767-011-0592-y.
[13] ZHANG Damin, WANG Xu. MPSK signal modulation recognition based on wavelet transformation[C]//2009 International Conference on Networking and Digital Society: Volume 1. Piscataway, NJ: IEEE Press, 2009: 202-205. DOI:10.1109/ICNDS.2009.56.
[14] HO K C, PROKOPIW W, CHAN Y T. Modulation identification by the wavelet transform[C]//1995 Conference Record of IEEE Military Communications Conference: Volume 2. Piscataway, NJ:IEEE Press, 1995: 886-890. DOI:10.1109/MILCOM.1995.483654.
[15] HONG L, HO K C. Identification of digital modulation types using the wavelet transform[C]//1999 IEEE Military Communications Conference Proceedings: Volume 1. Piscataway, NJ:IEEE Press, 1999: 427-431. DOI:10.1109/MILCOM.1999.822719.
[16] 陈锦,张晗博,殷奕,等.一种新的小波阈值去噪方法研究[J].信息化研究,2014,40(3):13-17.
[17] PRANKASAM P, MADHESWARAN M. Automatic modulation identification of QPSK and GMSK using wavelet transform for adaptive demodulator in SDR[C]//2007 International Conference on Signal Processing, Communications and Networking. Piscataway, NJ: IEEE Press, 2007: 507-511. DOI:10.1109/ICSCN.2007.350651.
[18] CHEN Jian, KUO Yonghong, LI Jiandong, et al. Digital modulation identification by wavelet analysis[C]//Proceedings of Sixth International Conference on Computational Intelligence and Multimedia Applications. Los Alamitos, CA:IEEE Computer Society Press, 2005: 29-34. DOI:10.1109/ICCIMA.2005.23.
[19] 苏志金, 许建华, 韩民. 基于小波变换的MPSK 短信号符号率估计[J]. 电子测量与仪器学报, 2013, 27(2): 140-144. DOI: 10.3724/SP.J.1187.2013.00140.
[1] ZOU Yanli, WANG Yang, LIU Shusheng, YAO Fei. Study of Cascading Failure in the Grid under the Capacity Load Model with Neighbors Degree Information [J]. Journal of Guangxi Normal University(Natural Science Edition), 2019, 37(4): 27-36.
[2] XU Lunhui, CHEN Kaixun. Prediction of Road Network Speed Distribution Based on BP Neural Network Optimization by Improved Firefly Algorithm [J]. Journal of Guangxi Normal University(Natural Science Edition), 2019, 37(2): 1-8.
[3] TANG Tang, WEI Chengyun, LUO Xiaoshu, QIU Senhui. Study of Seeker Optimization Algorithm with Inertia TermSelf-tuning to Attitude Stability of Quadrotor UAV [J]. Journal of Guangxi Normal University(Natural Science Edition), 2018, 36(4): 12-19.
[4] XU Yuanjing, HU Weiping. Identification of Pathological Voice of Different Levels Based on Random Forest [J]. Journal of Guangxi Normal University(Natural Science Edition), 2018, 36(4): 34-41.
[5] ZHONG Haixin, QIU Senhui, LUO Xiaoshu, TANG Tang, YANG Li, ZHAO Shuai. Study of Applying BP Neural Network with Inertia Term Self-tuningto Attitude Stability of Quadrotor Unmanned Aerial Vehicle [J]. Journal of Guangxi Normal University(Natural Science Edition), 2017, 35(2): 24-31.
[6] ZHONG Haixin, LUO Xiaoshu, ZHAO Shuai, YANG Li, TANG Tang. Research on Attitude Stability Control of Quadrotor Unmanned Aerial Vehicle Based on Improved Elitist Ant Colony System Algorithm [J]. Journal of Guangxi Normal University(Natural Science Edition), 2016, 34(4): 85-92.
[7] ZHOU Keliang, XING Sulin, NIE Congnan. A Heart Sound Denoising Method Based onAdaptive Threshold Wavelet Transform [J]. Journal of Guangxi Normal University(Natural Science Edition), 2016, 34(1): 19-25.
[8] QIN Xing-ming, JIANG Zhong-cheng, LAN Fu-ning, LUO Shu-wen, LAO Wen-ke, WU Hua-ying. Analysis of Trend and Annual Lowest Runoff Periodic Variationin the Nandong Subterranean River System [J]. Journal of Guangxi Normal University(Natural Science Edition), 2015, 33(2): 120-126.
[9] HU Qin-chun, HE Yi-gang, HE Jing. Time-domain Implementation of Gaussian-like Wavelet Transform Based on Switched Current Circuits [J]. Journal of Guangxi Normal University(Natural Science Edition), 2013, 31(4): 18-22.
[10] ZHANG Jun-jian, YANG Xiu-qin. Minimum Weighted KS Estimate [J]. Journal of Guangxi Normal University(Natural Science Edition), 2012, 30(4): 54-58.
[11] XIONG Shun-qing, ZHOU Wei-hong. New Digital Watermarking Algorithm Based on NSCT and SVD [J]. Journal of Guangxi Normal University(Natural Science Edition), 2011, 29(2): 195-199.
[12] ZHOU Yan-yan, FENG Jia-li. Algorithm of Digital Audio Watermarking Based on Qualitative Mapping [J]. Journal of Guangxi Normal University(Natural Science Edition), 2011, 29(2): 200-204.
[13] LI Yong, JIA Zhen. Applications of Discrete Chaotic Systems in Secure Communication [J]. Journal of Guangxi Normal University(Natural Science Edition), 2011, 29(1): 15-19.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!