卫星通信信号体系调制识别技术

doi:10.7527/S1000-6893.2014.0089

Abstract

Abstract:

A novel method for automatic modulation recognition in satellite communication is presented based on the high-order cumulants and characteristics of the spectrum, after that the simulation of the high-order cumulants and the spectrum lines of kinds of modulation signal in satellite communication are given and analyzed. A set of robust characteristic parameters for automatic modulation recognition is obtained which is from the high-order cumulants, power spectrum, square spectrum and quartic spectrum of the raised cosine shaping signals. And then, the method to automatic identification of the modulation attend is realized by blind estimation of symbol rates and carrier frequencies of signals without any prior knowledge. Most modulation modes of satellite communication are covered in this method and the identification system of satellite communication modulation is formed initially. The simulation results show that the method can overcome the effects of raised cosine shaping and is promising in satellite communications.

Key words: satellite communication, modulation, recognition, high order cumulant, spectrum feature, raised cosine shaping

CLC Number:

V19
TN911.7

MA Zhaoyu, HAN Fuli, XIE Zhidong, HU Jing, BIAN Dongming, ZHANG Gengxin. Modulation Recognition Technology of Satellite Communication Signal System[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014, 35(12): 3403-3414.

References

[1] Azzouz E E, Nandi A K. Algorithms for automatic modulation recognition of communication signals[J]. IEEE Transactions on Communications, 1998, 46(4): 431-436.

[2] Zhao C H, Yang W C, Ma S. Research on communication signal modulation recognition based on the generalized second-order cyclic statistics[J]. Journal on Communications, 2011, 32(1): 144-150. (in Chinese) 赵春晖, 杨伟超, 马爽. 基于广义二阶循环统计量的通信信号调制识别研究[J]. 通信学报, 2011, 32(1): 144-150.

[3] Wu L, Jiang H, Cui W L. Modulation classifcation using cyclostationarity test and support vector machine[J]. Journal of Applied Sciences, 2013, 31(6): 593-600. (in Chinese) 吴量, 江桦, 崔伟亮. 利用循环平稳性检测和支持向量机的调制信号分类[J]. 应用科学学报, 2013, 31(6): 593-600.

[4] Milad A, Saeed H, Ataollah E. Automatic recognition of digital communication signal[J]. International Journal of Energy, Information and Communications, 2012, 3(4): 21-33.

[5] Dang Y F, Xu Q J, Zhang J, et al. Research on modulation classification based on high-order cumulants and fractal theory[J]. Journal of Signal Processing, 2013, 29(6): 761-765. (in Chinese) 党月芳, 徐启建, 张杰, 等. 高阶累积量和分形理论在信号调制识别中的应用研究[J]. 信号处理, 2013, 29(6): 761-765.

[6] Wang Y C, Su S Y, Chen Z P. Method of radar signal modulation type recognition based on wavelet transform[J]. Computer Engineering, 2012, 38(23): 166-172. (in Chinese) 王渝冲, 宿绍营, 陈曾平. 基于小波变换的雷达信号调制类型识别方法[J]. 计算机工程, 2012, 38(23): 166-172.

[7] Fan H B, Yang Z J, Cao Z G. Automatic recognition for common used modulations in satellite communication[J]. Journal of China Institute of Communications, 2004, 25(1): 140-149. (in Chinese) 范海波, 杨志俊, 曹志刚. 卫星通信常用调制方式的自动识别[J]. 通信学报, 2004, 25(1): 140-149.

[8] Zhang G X, Zhang H. Mobile satellite communication system[M]. Nanjing: People's Liberation Army University of Science and Technology, 2001. (in Chinese) 张更新, 张杭. 卫星移动通信系统[M]. 南京: 中国人民解放军理工大学, 2001.

[9] Jin J, Zhang C X, Song N F. Electrical crosstalk of modulation signal in digital closed-loop FOG[J]. Acta Aeronautica et Astronautica Sinica, 2007, 28(5): 1200-1205. (in Chinese) 金靖, 张春熹, 宋凝芳. 数字闭环光纤陀螺的调制串扰误差[J]. 航空学报, 2007, 28(5): 1200-1205.

[10] European Broadcasting Union. ETSI TR 102 376 V.1.1.1 Digital video broadcasting user guidelines for the second generation system for broadcasting (DVB-S2), interactive services, news gathering and other broadband satellite applications[S]. Nice: European Telecommunications Standards Institute, 2005.

[11] ETSI TS 101 376-5-4 V1.3.1, GEO-mobile radio interface specifications;part 5: radio interface physical layer specifications; sub-part 4: modulation(GMR-1 05.004)[S]. Nice: European Telecommunications Standards Institute, 2005.

[12] Zhang X D. Time series analysis—higher order statistics method[M]. Beijing: Tsinghua University Press, 1996. (in Chinese) 张贤达. 时间序列分析—高阶统计量方法[M]. 北京: 清华大学出版社, 1996.

[13] Dubuc C, Boudreau D. An automatic modulation recognition algorithm for spectrum monitoring applications[C]//IEEE International Conference on Communications. Piscataway, NJ: IEEE, 1999: 732-736.

[14] Yang L, Xu X D, Lu Y R, et al. Spectrum line based modulation classification for constant modulus digital modulation signals[J]. Journal of University of Science and Technology of China, 2009, 39(9): 936-943. (in Chinese) 杨琳, 许小东, 路友荣, 等. 基于谱线特征的恒包络数字调制方式识别方法[J]. 中国科学技术大学学报, 2009, 39(9): 936-943.

[15] Zhang X Y, Luo L Y, Luo W Z. A method for estimating symbol rate of PSK modulation signal based on the instantaneous amplitude[J]. Signal Processing, 2008, 24(2): 316-319. (in Chinese) 张晓勇, 罗来源, 罗武忠. 一种基于瞬时幅度的PSK信号符号速率估计方法[J]. 信号处理, 2008, 24(2): 316-319.

[16] Liu S P, Wen X, Jing L. A new nonlinear filtering algorithm for colored background self-noise suppressing of symbol rate estimation[J].Acta Electronica Sinica, 2007, 35(1): 95-99. (in Chinese) 刘双平, 闻翔, 金梁. 一种抑制符号速率估计背景色噪声的非线性滤波算法[J]. 电子学报, 2007, 35(1): 95-99.

[17] Yan Z, Kang K, Wang H J. An improved blind carrier frequency estimation algorithm for satellite MPSK signals[J]. Telecommunication Engineering, 2013, 53(9): 1186-1190. (in Chinese) 燕展, 康凯, 王红军. 一种改进的卫星MPSK通信信号盲载波频率估计算法[J]. 电讯技术, 2013, 53(9): 1186-1190.

[18] Li H, Dai B Q, Lu W. A pitch detection algorithm based on AMDF and ACF[C]//Proceedings of 2006 IEEE International Conference on Acoustics, Speech and Signal Processing. Piscataway, NJ: IEEE, 2006.

Modulation Recognition Technology of Satellite Communication Signal System

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	SU Lingfei, HUA Yongzhao, DONG Xiwang, REN Zhang. Human-UAV swarm multi-modal intelligent interaction methods [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(S1): 727001-727001.
[2]	WANG Yufei, LIU Xiaojia, LIU Huan, CAO Lijun, LUO Zhiqiang. Application of Siamese neural network in electrical performance test of aerospace products [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(S1): 727048-727048.
[3]	LIU Xuecheng, LIANG Hua, ZONG Haohua, XIE Like, SU Zhi. Experiment on plasma ice shape modulation based on NACA0012 airfoil [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(9): 126283-126283.
[4]	SHI Huaitao, LIU Zimeng, BAI Xiaotian, MA Hui. Crack location recognition method for full ceramic bearing outer ring [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(8): 625481-625481.
[5]	QI Liangang, HAN Yanze, WANG Yani, GUO Qiang, Kaliuzhny MYKOLA. Multi-component LFM interference suppression method based on chirp rate turning point and FrFT [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(8): 326840-326840.
[6]	ZHANG Yi, ZHAI Shenghua, TAO Haihong. Identification of interference source for single satellite geolocation using chaotic mapping [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(7): 325407-325407.
[7]	LIU Tianyuan, ZHENG Hangbin, YANG Changqi, BAO Jinsong, WANG Junliang, GU Jun. Explainable deep learning method for laser welding defect detection [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(4): 524961-524961.
[8]	CHEN Weishi, HUANG Yifeng, CHEN Xiaolong, LU Xianfeng, ZHANG Jie. Development and applications of airport avian radar: Review [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(1): 24758-024758.
[9]	XIONG Guomiao, LI Yunpeng, LI Pengjiao, CHEN Chao. Design and performance analysis of an integrated detection-jamming shared waveform based on PNFM-LFM composite modulation [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(8): 525821-525821.
[10]	WANG Zhigang, WANG Yeguang, YANG Ning, MI Yufeng, QU Xiaolei. Construction method of flight data mining model based on LSTM [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(8): 525800-525800.
[11]	LIU Hao, WANG Hao, MENG Guanglei, WU Hao, ZHOU Mingzhe. Flight training evaluation based on dynamic Bayesian network and fuzzy gray theory [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(8): 525838-525838.
[12]	WANG Xiaolin, LIU Yuting, GU Cong, PENG Xuheng. Optimization of space vector modulation strategy based on hybrid inverter [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(7): 324673-324673.
[13]	LI Lin, WU Hongfei, ZHU Jianxin, HUANG Jiajie, YANG Fan. Airborne power supply system integrating low-frequency pulse power decoupling port [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(6): 624584-624584.
[14]	YE Shuran, ZHANG Zhen, WANG Yiwei, HUANG Chenguang. Progress in deep convolutional neural network based flow field recognition and its applications [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(4): 524736-524736.
[15]	YANG Juan, YANG Zhan'gang. Non-intrusive load monitoring method for aircraft electrical equipment based on GRNN algorithm [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(3): 324842-324842.