Performance Analysis of Spatial-Reference-Signal-Based Digital Interference Cancellation Systems

XIN Yedi; HE Fangmin; GE Songhu; XING Jinling; GUO Yu; CUI Zhongpu

doi:10.11999/JEIT250679

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XIN Yedi, HE Fangmin, GE Songhu, XING Jinling, GUO Yu, CUI Zhongpu. Performance Analysis of Spatial-Reference-Signal-Based Digital Interference Cancellation Systems[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT250679

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XIN Yedi, HE Fangmin, GE Songhu, XING Jinling, GUO Yu, CUI Zhongpu. Performance Analysis of Spatial-Reference-Signal-Based Digital Interference Cancellation Systems[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT250679

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Performance Analysis of Spatial-Reference-Signal-Based Digital Interference Cancellation Systems

doi: 10.11999/JEIT250679 cstr: 32379.14.JEIT250679

National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China

Funds: The National Nature Science Foundation of China (62301588, 62241111), The National Key Laboratory Foundation of Electromagnetic Energy (61422172320303)

Received Date: 2025-07-21
Accepted Date: 2025-11-03
Rev Recd Date: 2025-11-03

Available Online: 2025-11-11

Abstract

Abstract

Objective With the rapid development of wireless communications, an increasing number of transceivers are deployed on platforms with limited spatial and spectral resources. Restrictions in frequency and spatial isolation cause high-power local transmitters to couple signals into nearby high-sensitivity receivers, causing co-site interference. Interference cancellation serves as an effective mitigation technique, whose performance depends on precise acquisition of a reference signal representing the interference waveform. Compared with digital sampling, Radio Frequency (RF) sampling enables simpler implementation. However, existing RF-based approaches are generally restricted to low-power communication systems. In high-power RF systems, RF sampling faces critical challenges, including excessive sampling power loss and high integration complexity. Therefore, developing new sampling methods and cancellation architectures suitable for high-power RF systems is of substantial theoretical and practical value. Methods To overcome the limitations of conventional high-power RF interference sampling methods based on couplers, a spatial-reference-based digital cancellation architecture is proposed. A directional sampling antenna and its associated link are positioned near the transmitter to acquire the reference signal. This configuration, however, introduces spatial noise, link noise, and possible multipath effects, which can degrade cancellation performance. A system model is developed, and closed-form expressions for the cancellation ratio under multipath conditions are derived. The validity of these expressions is verified through Monte Carlo simulations using three representative modulated signals. Furthermore, a systematic analysis is conducted to evaluate the effects of key system parameters on cancellation performance. Results and Discussions Based on the proposed spatial-reference-based digital cancellation architecture, analytical expressions for the cancellation ratio are derived and validated through extensive simulations. These expressions enable systematic evaluation of the key performance factors. For three representative modulation schemes, the cancellation ratio shows excellent consistency between theoretical predictions and simulation results under various conditions, including receiver and sampling channel Interference-to-Noise Ratios (INRs), time-delay mismatch errors, and filter tap numbers (Figs. 2–4). The established theoretical framework is further applied to analyze the effects of system parameters. Simulations quantitatively assess (1) the influence of filter tap number, multipath delay spread, and the number of multipaths on cancellation performance in multipath environments (Figs. 5–7), and (2) the upper performance bounds and contour characteristics under different INR combinations in the receiver and sampling channels (Figs. 8–9). Conclusion To reduce the high deployment complexity and substantial insertion loss associated with coupler-based RF interference sampling in high-power systems, a digital interference cancellation architecture based on spatial reference signals is proposed. Closed-form expressions and performance bounds for the cancellation ratio of rectangular band-limited interference under multipath conditions are derived. Simulation results demonstrate that the proposed expressions provide high accuracy in representative scenarios. Based on the analytical findings, the effects of key parameters are examined, including INRs in receiver and sampling channels, filter tap length, multipath delay spread, number of paths, and time-delay mismatch. The results provide practical insights that support the design and optimization of spatial reference–based digital interference cancellation systems.
- Digital interference cancellation,
- Spatial reference signal,
- Multipath,
- System parameters,
- Interference cancellation ratio

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References(28)

References

[1]	ALLSEBROOK K and RIBBLE C. VHF cosite interference challenges and solutions for the United States Marine Corps' expeditionary fighting vehicle program[C]. IEEE MILCOM 2004. Military Communications Conference, 2004, Monterey, CA, USA, 2004: 548–554. doi: 10.1109/MILCOM.2004.1493324.
[2]	MOHAMMADI M, MOBINI Z, GALAPPATHTHIGE D, et al. A comprehensive survey on full-duplex communication: Current solutions, future trends, and open issues[J]. IEEE Communications Surveys & Tutorials, 2023, 25(4): 2190–2244. doi: 10.1109/COMST.2023.3318198.
[3]	RIIHONEN T, KORPI D, RANTULA O, et al. Inband full-duplex radio transceivers: A paradigm shift in tactical communications and electronic warfare?[J]. IEEE Communications Magazine, 2017, 55(10): 30–36. doi: 10.1109/MCOM.2017.1700220.
[4]	ZHANG Jiahao, HE Fangmin, LI Yi, et al. Multichannel adaptive interference cancellation for full-duplex high power AM radios[J]. IEEE Transactions on Electromagnetic Compatibility, 2022, 64(4): 1010–1020. doi: 10.1109/TEMC.2022.3160002.
[5]	BHARADIA D, MCMILIN E, and KATTI S. Full duplex radios[C]. Proceedings of the ACM SIGCOMM 2013 Conference on SIGCOMM, Hong Kong, China, 2013: 375–386. doi: 10.1145/2486001.2486033.
[6]	秦焕丁, 孟进, 何方敏, 等. 多抽头结构的宽带射频干扰对消及优化设计[J]. 系统工程与电子技术, 2023, 45(9): 2681–2689. doi: 10.12305/j.issn.1001-506X.2023.09.05. QIN Huanding, MENG Jin, HE Fangmin, et al. Optimization design of wideband RF interference cancellation based on multi-tap structure[J]. Systems Engineering and Electronics, 2023, 45(9): 2681–2689. doi: 10.12305/j.issn.1001-506X.2023.09.05.
[7]	HONG Z H, ZHANG Liang, LI Wei, et al. Frequency-domain RF self-interference cancellation for in-band full-duplex communications[J]. IEEE Transactions on Wireless Communications, 2023, 22(4): 2352–2363. doi: 10.1109/TWC.2022.3211196.
[8]	HONG Z H, ZHANG Liang, WU Yiyan, et al. Iterative successive nonlinear self-interference cancellation for in-band full-duplex communications[J]. IEEE Transactions on Broadcasting, 2024, 70(1): 2–13. doi: 10.1109/TBC.2023.3291136.
[9]	CHU Jianjun, TANG Yanqun, and ZHOU Yu. Digital domain self-interference cancellation based on modified variable step-size LMS algorithm[C]. 2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE), Guangzhou, China, 2023: 9–14. doi: 10.1109/CISCE58541.2023.10142735.
[10]	SHAHGHASI A, CRIADO R, MONTORO G, et al. Digital self-interference cancellation for in-band full-duplex communications[C]. 2025 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits (INMMIC), Torino, Italy, 2025: 1–3. doi: 10.1109/INMMIC64198.2025.10975378.
[11]	HUANG Xiaojing and GUO Y J. Radio frequency self-interference cancellation with analog least mean-square loop[J]. IEEE Transactions on Microwave Theory and Techniques, 2017, 65(9): 3336–3350. doi: 10.1109/TMTT.2017.2654218.
[12]	KOLODZIEJ K E, MCMICHAEL J G, and PERRY B T. Multitap RF canceller for in-band full-duplex wireless communications[J]. IEEE Transactions on Wireless Communications, 2016, 15(6): 4321–4334. doi: 10.1109/TWC.2016.2539169.
[13]	AHMED E and ELTAWIL A M. All-digital self-interference cancellation technique for full-duplex systems[J]. IEEE Transactions on Wireless Communications, 2015, 14(7): 3519–3532. doi: 10.1109/TWC.2015.2407876.
[14]	KORPI D, ANTTILA L, SYRJÄLÄ V, et al. Widely linear digital self-interference cancellation in direct-conversion full-duplex transceiver[J]. IEEE Journal on Selected Areas in Communications, 2014, 32(9): 1674–1687. doi: 10.1109/JSAC.2014.2330093.
[15]	ELSAYED M, EL-BANNA A A A, DOBRE O A, et al. Machine learning-based self-interference cancellation for full-duplex radio: Approaches, open challenges, and future research directions[J]. IEEE Open Journal of Vehicular Technology, 2024, 5: 21–47. doi: 10.1109/OJVT.2023.3331185.
[16]	HU Cong, CHEN Yuanxiang, WANG Yuhan, et al. Digital self-interference cancellation for full-duplex systems based on deep learning[J]. AEU - International Journal of Electronics and Communications, 2023, 168: 154707. doi: 10.1016/j.aeue.2023.154707.
[17]	GE Songhu, MENG Jin, XING Jinling, et al. A digital-domain controlled nonlinear RF interference cancellation scheme for co-site wideband radios[J]. IEEE Transactions on Electromagnetic Compatibility, 2019, 61(5): 1647–1654. doi: 10.1109/TEMC.2018.2871129.
[18]	KIM J, LEE H, DO H, et al. On the learning of digital self-interference cancellation in full-duplex radios[J]. IEEE Wireless Communications, 2024, 31(4): 184–191. doi: 10.1109/MWC.014.2300403.
[19]	GRIMM M, ALLÉN M, MARTTILA J, et al. Joint mitigation of nonlinear RF and baseband distortions in wideband direct-conversion receivers[J]. IEEE Transactions on Microwave Theory and Techniques, 2014, 62(1): 166–182. doi: 10.1109/TMTT.2013.2292603.
[20]	GE Songhu, XING Jinling, LIU Yongcai, et al. Dual-stage co-site RF interference canceller for wideband direct-conversion receivers using reduced observation chain[J]. IEEE Transactions on Electromagnetic Compatibility, 2020, 62(3): 923–932. doi: 10.1109/TEMC.2019.2914369.
[21]	LUO Haifeng, HOLM M, and RATNARAJAH T. On the performance of active analog self-interference cancellation techniques for beyond 5G systems[J]. China Communications, 2021, 18(10): 158–168. doi: 10.23919/JCC.2021.10.011.
[22]	李成全. 舰船一体化集成超短波通信抗干扰阵列研究[D]. [硕士论文], 中国舰船研究院, 2013. LI Chengquan. Study on the shipboard integrated V/UHF communication antenna array with anti-interference function[D]. [Master dissertation], China Ship Research and Development Academy, 2013.
[23]	QIN Huanding, HE Fangmin, MENG Jin, et al. Analysis and optimal design of radio-frequency interference adaptive cancellation system with delay mismatch[J]. IEEE Transactions on Electromagnetic Compatibility, 2019, 61(6): 2015–2023. doi: 10.1109/TEMC.2019.2950718.
[24]	XING Jinling, GE Songhu, LIU Yongcai, et al. Comprehensive analysis of quantization effects on digital-controlled adaptive self-interference cancellation system[J]. IEEE Access, 2020, 8: 75772–75784. doi: 10.1109/ACCESS.2020.2989001.
[25]	王俊, 赵宏志, 马万治, 等. 同时同频全双工宽带射频自干扰抵消性能分析[J]. 通信学报, 2016, 37(9): 121–130. doi: 10.11959/j.issn.1000-436x.2016184. WANG Jun, ZHAO Hongzhi, MA Wanzhi, et al. Performance analysis of broadband self-interference cancellation at RF domain in co-frequency co-time full duplex systems[J]. Journal on Communications, 2016, 37(9): 121–130. doi: 10.11959/j.issn.1000-436x.2016184.
[26]	ZHAO Hongzhi, WANG Jun, and TANG Youxi. Performance analysis of RF self-interference cancellation in broadband full duplex systems[C]. 2016 IEEE International Conference on Communications Workshops (ICC), Kuala Lumpur, Malaysia, 2016: 175–179. doi: 10.1109/ICCW.2016.7503784.
[27]	HE Zhaojun, SHAO Shihai, SHEN Ying, et al. Performance analysis of RF self-interference cancellation in full-duplex wireless communications[J]. IEEE Wireless Communications Letters, 2014, 3(4): 405–408. doi: 10.1109/LWC.2014.2322097.
[28]	QUAN Xin, LIU Ying, SHAO Shihai, et al. Impacts of phase noise on digital self-interference cancellation in full-duplex communications[J]. IEEE Transactions on Signal Processing, 2017, 65(7): 1881–1893. doi: 10.1109/TSP.2017.2652384.