A new adaptive co-site broadband interference cancellation method with auxiliary channel

Yunhao Jiang , Siqi Liu , Minyang Li , Nan Zhao , Minghu Wu

›› 2024, Vol. 10 ›› Issue (4) : 934 -947.

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›› 2024, Vol. 10 ›› Issue (4) :934 -947. DOI: 10.1016/j.dcan.2022.10.025
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A new adaptive co-site broadband interference cancellation method with auxiliary channel

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Abstract

With the boom of the communication systems on some independent platforms (such as satellites, space stations, airplanes, and vessels), co-site interference is becoming prominent. The adaptive interference cancellation method has been adopted to solve the co-site interference problem. But the broadband interference cancellation performance of traditional Adaptive Co-site Interference Cancellation System (ACICS) with large delay mismatching and antenna sway is relatively poor. This study put forward an Adaptive Co-site Broadband Interference Cancellation System With Two Auxiliary Channels (ACBICS-2A). The system model was established, and the steady state weights and Interference Cancellation Ratio (ICR) were deduced by solving a time-varying differential equation. The relationship of ICR, system gain, modulation factor, interference signal bandwidth and delay mismatching degree was acquired through an in-depth analysis. Compared with traditional adaptive interference cancellation system, the proposed ACBICS-2A can improve broadband interference cancellation ability remarkably with large delay mismatching and antenna sway for the effect of auxiliary channel. The maximum improved ICR is more than 25 ​dB. Finally, the theoretical and simulation results were verified by experiments.

Keywords

Co-site broadband interference / Interference cancellation / Auxiliary channel / Delay mismatching

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Yunhao Jiang, Siqi Liu, Minyang Li, Nan Zhao, Minghu Wu. A new adaptive co-site broadband interference cancellation method with auxiliary channel. , 2024, 10(4): 934-947 DOI:10.1016/j.dcan.2022.10.025

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References

[1]

T. Baldwin, G. Capraro, Instrasystem electromagnetic compatibility program, IEEE Trans. Electromagn C. 22 (1980) 224-228.

[2]

F. German, M. Young, M.C. Miller, A multi-fidelity modelling approach for cosite interference analysis, in: IEEE International Symposium on Electromagnetic Compatibility, Austin, Texas, USA., 2009, pp. 195-200.

[3]

R. Cicchetti, O. Testa, D. Caratelli, A numerical procedure for the analysis of emc/emi problems in radio communication systems operating in complex environments, in: IEEE Transactions on Electromagnetic Compatibility, IEEE, 54, 2012, pp. 1269-1280.

[4]

B. Widrow, J.R. Glover, J.M. McCool, J. Kaunitz, C.S. Williams, R.H. Hearn, J.R. Zeidler, D.J. Eugene, R.C. Goodlin, Adaptive noise cancelling: principles and applications, Proc. IEEE 63 (12) (1975) 1692-1716.

[5]

J.R. Glover, Adaptive noise canceling applied to sinusoidal interferences, IEEE Trans. Acoust. Speech. Signal Proc. ASSP 25 (6) (1977) 484-491.

[6]

A. Flores, B. Widrow, Assessment of the efficiency of the lms algorithm based on spectral information, in: Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, California, Pacific Grove, 2004, pp. 120-124.

[7]

B. Widrow, M. Kamenetsky, On the statistical efficiency of the lms family of adaptive algorithms, in: Proceedings of the International Joint Conference on Neural Networks, California, 4, 2003, pp. 2872-2880.

[8]

T.A. Muhammad, A. Masahide, K. Masayuki, A new variable step size lms algorithm-based method for improved online secondary path modeling in active noise control systems, in: IEEE Transactions on Acoustics, Speech, and Signal Pocessing, IEEE, 2, 2007, pp. 720-726.

[9]

O.J. Tobias, R. Seara, On the lms algorithm with constant and variable leakage factor in a nonlinear environment, IEEE Trans. Signal Process. 54 (9) (2006) 3448-3458.

[10]

Y. Zhang, J.A. Chambers, A new variable tap-length lms algorithm to model an exponential decay impulse response, IEEE Signal Process. Lett. 14 (4) (2007) 263-266.

[11]

Y.H. Jiang, Z.H. Zhao, A.Q. Hu, W.L. Li, H. Xiao, J. Tang, Influence of different gains to adaptive interference cancellation system, in: IEEE Asia-Pacific International Symposium on Electromagnetic Compatibility, IEEE, 2010, pp. 1394-1397.

[12]

Y.H. Jiang, W.m. Ma, Z.h. Zhao, Analysis of chopping stabilizing zero for adaptive interference cancellation system, J. Commun. 31 (3) (2010) 65-74.

[13]

Y.h. Jiang, Y. Ding, Y. Xie, Development of an effective feed-forward control method for active antenna cancelation, IEEE Trans. Electromagn C. 57 (5) (2015) 973-981.

[14]

W.L.L. Li, Z.H. Zhao, J. Tang, F.M. He, Y. Li, H. Xiao, Performance analysis and optimal design of the adaptive interference cancellation system, IEEE Trans. Electromagn. Compat. IEEE Trans. Electromag. Compatib. 55 (6) (2013) 1068-1075.

[15]

Y.H. Jiang, W.F. Chen, S.M. Zhong, H.Y. Jia, Y.J. Cao, P. Mao, Nonzero bandwidth performance and time delay matching of interference cancellation system, J. Commun. 35 (7) (2014) 113-121.

[16]

H.L. Adaniya, Wideband Active Antenna Cancellation, massachusetts institute of technology, MA, USA, 2009.

[17]

Y.H. Jiang, X. Li, Broadband cancellation method in an adaptive co-site interference cancellation system, Int. J. Electron 109 (5) (2022) 854-874.

[18]

F. Wu, S. Li, S.H. Shao, Y.X. Tang, Near-field self-interference suppression with subscriber beamforming in full-duplex communications, AEU-Int. J. Electr. Commun. 70 (12) (2016) 1676-1683.

[19]

E. Song, J. Kim, J. Kim, A passive equalizer optimization method based on timedomain inter-symbol interference (isi) cancellation technique, IEEE Trans. Electromagn C. 60 (3) (2017) 807-810.

[20]

H. Qin, F. He, J. Meng, Q. Wang,Analysis and optimal design of radio-frequency interference adaptive cancellation system with delay mismatch, IEEE Trans. Electromagn C. (2019) 1-9. PP(99).

[21]

S. Chen, M.A. Beach, J.P. Mcgeehan, Division-free duplex for wireless applications, Electron. Lett. 34 (2) (2002) 147-148.

[22]

A.T. Le, C.T. Le, X. Huang, Y.J. Guo, L. Hanzo, Analog least mean square adaptive filtering for self-interference cancellation in full duplex radios, IEEE Wireless Commun. 28 (1) (2020) 12-18.

[23]

H. Zhao, U.D. Silva, S. Pulipati, S.B. Venkatakrishnan, A. Madanayake, A broadband multistage self-interference canceller for full-duplex mimo radios, IEEE Trans. Microw. Theor. Tech. (2021) 2253-2266. PP (99).

[24]

K. Komatsu, Y. Miyaji, H. Uehara,Theoretical analysis of in-band full-duplex radios with parallel hammerstein self-interference cancellers, IEEE Trans. Wireless Commun. (2021) 1-15. PP (99).

[25]

N. Jing, R. Ban, X. Wang, P. Dong, Implementation of time-window based analog self-interference cancellation for full-duplex radios, AEU-Int. J. Electron. Commun. 120 (4) (2020) 153-171.

[26]

Y.X. Tang, S. Li, F. Wu, S.H. Shao, Near-field self-interference suppression with subscriber beamforming in full-duplex communications, AEU-Int. J. Electron. Commun. 70 (12) (2016) 1676-1683.

[27]

W. Lei, Y. Zhou, X. Lin, A physical layer security scheme for full-duplex communication systems with residual self-interference and no eavesdropping csi, Digit. Commun. Netw. (2020) 2352-8648.

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