Amplitude Symmetry Detection for Interfering Signals in CNC Satellite Communications

محورهای موضوعی : Majlesi Journal of Telecommunication Devices

Habib Alizadeh ¹ (PhD Candidate Faculty of Electrical Engineering Department, Imam Hossein University, Tehran,Iran)
Mohsen Rezaee ² (Assistant Professor ICT Research Institute, Tehran, Iran)
Morteza Babaei ³ (Assistant Professor Faculty of Electrical Engineering Department, Imam Hossein University, Tehran, Iran)

تاریخ دریافت : 1402/03/21 تاریخ پذیرش : 1402/05/22 تاریخ انتشار : 1402/06/10

کلید واژه: Symmetric CNC, CNC satellite Communication, High-Order Statistics,

چکیده مقاله :

Satellite communications technology developed rapidly and plays important role in communication networks. In the meantime, CNC satellite communication has received much attention due to its high spectral efficiency. However, the analysis of this type of communication signal in non-cooperative receivers is associated with many challenges due to the nature of time-frequency overlap. The proposed methods in this field have been developed assuming either symmetry or asymmetry in the amplitude of the two interfering signals. However, a reliable method to detect the amplitude symmetry in the non-cooperative receivers is missing in the literature. Thus, in this article, the symmetry or asymmetry of the amplitude of time-frequency overlapping signals of these type of communications has been analyzed using higher-order statistics. For this purpose, the mathematical relationships of higher-order statistics for the model of time-frequency interfering signals received in the non-cooperative receiver have been developed. Then, the appropriate decision function is defined based on different ratios of higher-order statistics of the received signal. This decision function is used to detect amplitude symmetry or asymmetry in time-frequency overlapping signals for CNC communication. The simulations show that the decision-making function based on the sixth and fourth ratio cumulants is a reliable metric, such that the probability of correct classification at signal-to-noise levels higher than 25dB for BPSK modulation is more than 80%, and for QPSK modulation is more than 90%.

منابع و مأخذ:

[1]	Y. Yang, H. Peng, D. Zhang and X. Dai, "Markov Chain Monte Carlo-Based Separation of Paired Carrier Multiple Access Signals," IEEE Communications Letters , vol. 20, no. 11, pp. 2209 - 2212, 2016.
[2]	S. Preethi and k.Rajeswari, "A Survey on Multiple Access Techniques for Mobile communication," International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), vol. 1, pp. 1-5, 2015.
[3]	C. Agne, M. B. Cornell, M. Dale, R. Kearns and F. Lee, "Shared-spectrum bandwidth efficient satellite communications," in 2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE, San Jose, CA, USA, 2010.
[4]	Y. Guo, H. Peng and J. Fu, "Joint Blind Parameter Estimation of Non-cooperative High-Order Modulated PCMA Signals," KSII Transactions on Internet and Information Systems (TIIS), vol. 12, no. 10, pp. 4873-4888 , 2018.
[5]	Q. Deng, S. Zhang, G. Chen and H. Lu, "Blind separation of noncooperative paired carrier multiple access signals based on improved quantum‐inspired evolutionary algorithm and receding horizon optimization," Concurrency Computat Pract Exper, vol. 34, 2021.
[6]	L. Brnak, M. Svarc, V. Platenka and M. Richterova, "Blind Equalization of Carrier in Carrier Signals by Using Adaptive Filters," in 2018 New Trends in Signal Processing (NTSP), Slovakia, 2018.
[7]	P.-h. Mo, X.-x. Fan and L. You, "A novel and blind detection scheme for asymmetric PCMA system," in Proceedings of 2013 3rd International Conference on Computer Science and Network Technology, Dalian, China, 2013.
[8]	C. Peng, X. Yang and Y. Zhang, "Blind separation of asymmetric signals based on Synchrosqueezing Wavelet Transform," MATEC Web of Conferences, vol. 232, 2018.
[9]	Y. Yang, D. Zhang and H. Peng, "Frequency Offset Estimation of the Linear Mixture of Two Co-Frequency 8 Phase-Shift Keying Modulated Signals," IET Signal Processing, vol. 9, no. 2, pp. 186-192, 2015.
[10]	Y. Yang, H. Peng, D. Zhang and P. Wang, "Iterative Processing Structure for the Single-Channel Mixture of Digital-Modulated Adjacent-Frequency Source Signals," IEEE Transactions on Vehicular Technology, vol. 69, no. 2, pp. 1639 - 1650, 2020.
[11]	X. Liu, Y. L. Guan, S. N. Koh, Z. Liu and P. Wang, "Low-Complexity Single-Channel Blind Separation of Co-Frequency Coded Signals," IEEE Communications Letters, vol. 22, no. 5, pp. 990 - 993, 2018.
[12]	W. Chi, P. Hua and F. Junhui, "A Blind Separation Method of PCMA Signals Based on MSGibbs Algorithm," Journal of Physics: Conference Series, vol. 1168, no. 5, 2019.
[13]	C. Wei, H. Peng and J. Fan, "Single-channel Demodulation Algorithm for Non-cooperative PCMA Signals Based on Neural Network," KSII Transactions on Internet and Information Systems, vol. 13, no. 7, pp. 3433-3446, 2019.
[14]	M. Dankberg, "Paired Carrier Multiple Access For Satellite Communication," in In 17th AIAA International Communications Satellite Systems Conference and Exhibit, Honolulu, Hawaii, 1998.
[15]	Y. Liang, X. Xiang, Y. Sun, X. Da, C. Li and L. Yin, "Novel Modulation Recognition for WFRFT-Based System Using 4th-Order Cumulants," IEEE Access , vol. 7, pp. 86018 - 86025, 2019.
[16]	M. S. Pajic, M. Veinovic, M. Peric and V. D. Orlic, "Modulation Order Reduction Method for Improving the Performance of AMC Algorithm Based on Sixth–Order Cumulants," IEEE Access , vol. 8, pp. 106386 - 106394, 2020.
[17]	T. Li, Y. Li and O. A. Dobre, "Modulation Classification Based on Fourth-Order Cumulants of Superposed Signal in NOMA Systems," IEEE Transactions on Information Forensics and Security , vol. 16, pp. 2885 - 2897, 2021.
[18]	A. Abdelmutalab, K. Assaleh and M. El-Tarhuni, "Automatic modulation classification based on high order cumulants and hierarchical polynomial classifiers," Physical Communication, vol. 21, pp. 10-18, 2016.
[19]	Z. Ge, H. Jiang, Y. Guo and J. Zhou, "Accuracy Analysis of Feature-Based Automatic Modulation Classification via Deep Neural Network," Sensors, vol. 21, 2021.
[20]	H. Ochiai, "High-Order Moments and Gaussianity of Single-Carrier and OFDM Signals," IEEE Transactions on Communications , vol. 63, no. 12, pp. 4964 - 4976, 2015.
[21]	A. Swami and B. M. Sadler, "Hierarchical digital modulation classification using cumulants," IEEE Transactions on Communications , vol. 48, no. 3, pp. 416 - 429, 2000.
[22]	F. Liu, Z. Zhang and R. Zhou, "Automatic Modulation Recognition Based on CNN and GRU," Tsinghua Science and Technology, vol. 27, no. 2, pp. 422 - 431, 2022.
[23]	M. SIMIC and M. S. :. D. ORLIC, "Automatic Modulation Classification of Real Signals in AWGN Channel Based on Sixth-Order Cumulants," Radioengineering, vol. 30, no. 1, pp. 204-214, 2021.