Spatial Resolution Analysis and Optimization of Power-inversion Based Interference Cancellation Algorithm

被引：0
|
作者：
Zhang J. [1 ]
Li Y. [1 ]
Guo Y. [1 ]
Wu H. [1 ]
He F. [1 ]
Meng J. [1 ]
机构：
[1] National Key Laboratory of Science and Technology on Vessel Integrated Power System, Naval University of Engineering, Hubei Province, Wuhan
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2022年 / 42卷 / 13期
关键词：
interference cancellation; power-inversion; spatial resolution; spatial spectrum; super-resolution;
D O I：
10.13334/j.0258-8013.pcsee.212178
中图分类号：
学科分类号：
摘要：
Interference cancellation is one of the most important methods of the system-level electromagnetic compatibility research field. When the interference and the signal of interest (SoI) have different angle of arrival (AoA), the spatial-domain interference cancellation can be utilized to suppress the interference. Specially, in the case that the AoA difference between the interference and SoI is small, the algorithm performance of the spatial-domain interference cancellation can be highly related with its spatial resolution characteristic, which was analyzed under the power-inversion criterion in this paper. The spatial spectrum null’s spatial resolution of the interference cancellation was compared with the mainbeam’s of the traditional antenna array beamforming. A quantitative characterization method for the spatial resolution of the interference cancellation was established based on the SoI cancellation ratio (SCR). The super-resolution feature of the interference cancellation algorithm was observed and verified by theoretical analysis and measurement results. The optimization method to enhance the spatial resolution was proposed based on the auxiliary array design. This work can provide theoretical value for exploring the performance boundaries of the interference cancellation techniques. © 2022 Chin.Soc.for Elec.Eng.
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页码：4665 / 4674
页数：9
相关论文
共 25 条
  • [1] MENG Jin, ZHANG Lei, ZHAO Zhihua, Electromagnetic interference analysis，measurement，and protection for novel vessel systems[M], (2020)
  • [2] ZHAO Zhihua, ZHANG Xiangming, LI Jianxuan, Cancellation method to control mutual-inductance coupling EMI[J], Transactions of China Electrotechnical Society, 25, 1, pp. 19-23, (2010)
  • [3] Songhu GE, Jin MENG, XING Jinling, A digital-domain controlled nonlinear RF interference cancellation scheme for co-site wideband radios[J], IEEE Transactions on Electromagnetic Compatibility, 61, 5, pp. 1647-1654, (2019)
  • [4] Huanding QIN, Jin MENG, Fangmin HE, Design and analysis of digital-to-analog hybrid RF interference cancellation system based on multitap Structure[J], IEEE Transactions on Microwave Theory and Techniques, 69, 9, pp. 4300-4314, (2021)
  • [5] GAO Qiang, ZHANG Jun, ZHENG Que, Implementing noise cancellation of 10kV power line communication based on adaptive least-mean-square error algorithm[J], Power System Technology, 33, 18, pp. 204-208, (2009)
  • [6] LU Zhonghao, Jun XU, LIN Mingtuan, Background electromagnetic interference suppression method based on spatial cancellation for on-site test of electromagnetic radiation emission[J], Systems Engineering and Electronics, 42, 7, pp. 1433-1438, (2020)
  • [7] CHEN Feiqiang, NIE Junwei, NI Shaojie, Improved least mean square algorithm for power-inversion global navigation satellite system antenna array[J], Journal of National University of Defense Technology, 39, 3, pp. 47-51, (2017)
  • [8] FENG Dazheng, ZHENG Weixing, An approximate inverse-power algorithm for adaptive extraction of minor subspace[J], IEEE Transactions on Signal Processing, 55, 7, pp. 3937-3942, (2007)
  • [9] Qiuchen LIU, Aijun LIU, WANG Yong, A super-resolution sparse aperture ISAR sensors imaging algorithm via the MUSIC technique[J], IEEE Transactions on Geoscience and Remote Sensing, 57, 9, pp. 7119-7134, (2019)
  • [10] DENG Junbo, WANG Han, XUE Jianyi, Improved reverse algorithm of surface charge density distribution and electric field distribution based on electrostatic probe[J], Proceedings of the CSEE, 38, 4, pp. 1239-1247, (2018)
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