非平稳环境下基于可控泄漏约束的鲁棒自适应干扰对消算法

马宇峰; 何方敏; 杨凯; 梁嘉棋; 刘宏波

doi:10.12263/DZXB.20251074

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非平稳环境下基于可控泄漏约束的鲁棒自适应干扰对消算法

学术论文 | 更新时间：2026-06-16

- 非平稳环境下基于可控泄漏约束的鲁棒自适应干扰对消算法
- Robust Adaptive Interference Cancellation with Controlled Leakage Constraint in Non-Stationary Environments
- 电子学报 2026年54卷第3期页码：1194-1208
- 作者机构：
  
  电磁能技术全国重点实验室，湖北武汉 430000
- 作者简介：
  
  马宇峰男，1998年10月出生于黑龙江省哈尔滨市。现为电磁能技术全国重点实博士研究生。主要研究方向为通信抗干扰。 E-mail: myf20230518@163.com
  何方敏男，1982年4月出生于湖北省天门市。现为电磁能技术全国重点实验室研究员。主要研究方向为电磁兼容和通信干扰抑制。 E-mail: hefangminemc@126.com
  杨凯男，1989年8月出生于湖南省岳阳市。现为电磁能技术全国重点实验室助理研究员。主要研究方向为阵列信号处理。 E-mail: yangkai12@nudt.edu.cn
  梁嘉棋男，1997年8月出生于广东省中山市。现为电磁能技术全国重点实验室博士研究生。主要研究方向为通信抗干扰。 E-mail: 2001004@nudt.edu.cn
  刘宏波男，1979年10月出生于黑龙江省齐齐哈尔市。现为电磁能技术全国重点实验室副教授。主要研究方向为正交频分复用系统、数字信号处理。 E-mail: wuhanliuliu@126.com
- 基金信息：
  
  全国重点实验室稳定支持科研项目(614221723030301);国家自然科学基金青年项目(62301586)
- DOI：10.12263/DZXB.20251074
  中图分类号： TN975;
- 收稿：2025-12-24，
  
  录用：2026-01-16，
  
  纸质出版：2026-03-25
- 稿件说明：
移动端阅览
马宇峰, 何方敏, 杨凯, 等. 非平稳环境下基于可控泄漏约束的鲁棒自适应干扰对消算法[J]. 电子学报, 2026, 54(03): 1194-1208.

MA Yufeng, HE Fangmin, YANG Kai, et al. Robust Adaptive Interference Cancellation with Controlled Leakage Constraint in Non-Stationary Environments[J]. Acta Electronica Sinica, 2026, 54(03): 1194-1208.
马宇峰, 何方敏, 杨凯, 等. 非平稳环境下基于可控泄漏约束的鲁棒自适应干扰对消算法[J]. 电子学报, 2026, 54(03): 1194-1208. DOI：10.12263/DZXB.20251074

MA Yufeng, HE Fangmin, YANG Kai, et al. Robust Adaptive Interference Cancellation with Controlled Leakage Constraint in Non-Stationary Environments[J]. Acta Electronica Sinica, 2026, 54(03): 1194-1208. DOI：10.12263/DZXB.20251074

摘要

本文提出一种基于可控泄漏约束的鲁棒自适应干扰对消算法（Robust Adaptive Interference Cancellation with Controlled Leakage Constraint，RAIC-CLC），旨在解决阵列误差导致的导向矢量失配问题及非平稳环境下的恶意干扰挑战。针对由期望信号导向矢量失配引起的干扰对消后期望信号增益下降的问题，提出一种可控泄漏约束机制，该机制通过将约束干扰对消后期望信号增益不低于预设阈值，以显式调节信号泄漏水平，实现了期望信号增益保持前提下干扰信号的充分抑制。理论分析表明：引入可控泄漏约束因子可显著降低期望信号增益损失；进一步推导出最优泄漏约束因子的闭式解，实现不同工作条件下干扰抑制能力与期望信号保真度之间的自适应权衡。针对非平稳环境中因干扰源移动、信道变化等因素导致接收的干扰信号统计特性时变、需要低复杂度算法实现干扰信号动态抑制的问题，设计了一种基于梯度投影的迭代优化算法。该算法基于实时输入的数据流快拍，采用瞬时梯度下降法和梯度投影法，完成不等式约束条件下权值矢量的实时更新，显著降低了计算复杂度，达成了算法对非平稳环境下干扰信号的实时跟踪抑制，适用于现场可编程门阵列（Field Programmable Gate Array，FPGA）平台高效实现。仿真结果表明：所提方法在多种典型算法中表现优异，包括传统最小输出功率法（Minimum Output Powe，MOP）、带正则化惩罚项的最小输出功率法（Minimum Output Power with Regularization Penalty，MOP-RP）、最小方差无失真响应（Minimum Variance Distortionless Response，MVDR）算法、广义旁瓣相消法（Generalized Sidelobe Canceller，GSC）及基于特征值替换的协方差矩阵重建（Eigenpair Substitution-based Covariance Matrix Reconstruction，ESCMR）方法，尤其在低快拍数与高信噪比（Signal-to-Noise Ratio，SNR）等具有挑战性条件下展现出更强的鲁棒性。

Abstract

This paper proposes a robust adaptive interference cancellation algorithm based on a controllable leakage constraint

aiming to address the steering vector mismatch caused by array errors and the challenge of malicious interference in non‑stationary environments. To mitigate the degradation of desired signal gain after interference cancellation under steering vector mismatch

a controllable leakage constraint mechanism is introduced. By constraining the post‑cancellation desired signal gain to be no lower than a preset threshold

this mechanism explicitly regulates the signal leakage level

thereby achieving sufficient interference suppression while preserving the desired signal gain. Theoretical analysis indicates that introducing a controllable leakage constraint factor can significantly reduce the loss in desired signal gain. Furthermore

a closed‑form solution for the optimal leakage constraint factor is derived

enabling an adaptive trade‑off between interference suppression capability and desired signal fidelity under various operating conditions. To tackle the problem that time‑varying statistical characteristics of received interference signals due to factors such as moving interference sources and channel variations in non‑stationary environments require low‑complexity algorithms for dynamic interference suppression

an iterative optimization algorithm based on gradient projection is designed. Operating on snapshot data from real‑time input streams

the algorithm employs instantaneous gradient descent combined with gradient projection to update the weight vector in real time under inequality constraints

significantly reducing computational complexity. This approach enables real‑time tracking and suppression of interference in non‑stationary environments and is suitable for efficient implementation on field programmable gate array (FPGA) platforms. Simulation results demonstrate that the proposed method outperforms several representative algorithms

including the traditional minimum output power (MOP)

minimum output power with regularization penalty (MOP‑RP)

minimum variance distortionless response (MVDR)

generalized sidelobe canceller (GSC)

and eigenpair substitution‑based covariance matrix reconstruction (ESCMR). It exhibits stronger robustness

particularly under challenging conditions such as low snapshot counts and high signal‑to‑noise ratio (SNR).

关键词

Keywords

references

姚富强 . 通信抗干扰工程与实践 [M ] . 北京 : 电子工业出版社 , 2008 .

Yao Fuqiang . Communication anti-jamming engineering and practice [M ] . Beijing : Publishing House of Electronics Industry , 2008 . (in Chinese)

Jan T . Electronic warfare [J ] . National Defense , 2022 , 107 ( 827 ): 22 - 23 .

卢洽然 , 何方敏 , 王泽 , 等 . 压制干扰对短周期序列扩频通信解调性能的影响分析 [J ] . 华中科技大学学报(自然科学版) , 2025 , 53 ( 3 ): 70 - 77 .

Lu Qiaran , He Fangmin , Wang Ze , et al . Performance analysis of suppressing jamming on the demodulation perfor-mance of spread spectrum communication with short period sequences [J ] . Journal of Huazhong University of Science and Technology (Nature Science Edition) , 2025 , 53 ( 3 ): 70 - 77 . (in Chinese)

Lu Q R , Qin H D , He F M , et al . Wideband interference cancellation system based on a fast and robust LMS algorithm [J ] . Sensors , 2023 , 23 ( 18 ): 7871 . DOI: 10.3390/s23187871 http://dx.doi.org/10.3390/s23187871

Wu H , Liu R , Guo Y , et al . Performance analysis of mainlobe canceller for monopulse at subarray level in the presence of amplitude-phase error [J ] . IEEE Transactions on Aerospace and Electronic Systems , 2024 , 60 ( 2 ): 2461 - 2473 . DOI: 10.1109/taes.2024.3354224 http://dx.doi.org/10.1109/taes.2024.3354224

Wang Q , Qin H D , Yang K , et al . A robust sidelobe cancellation algorithm based on beamforming vector norm constraint [J ] . IET Signal Processing , 2024 , 2024 : 7696638 . DOI: 10.1049/2024/7696638 http://dx.doi.org/10.1049/2024/7696638

Liu W X , Lu Z K , Wang Z Y , et al . Sidelobes suppression for time domain anti-jamming of satellite navigation receivers [J ] . Remote Sensing , 2022 , 14 ( 21 ): 5609 . DOI: 10.3390/rs14215609 http://dx.doi.org/10.3390/rs14215609

Applebaum S , Chapman D . Adaptive arrays with main beam constraints [J ] . IEEE Transactions on Antennas and Propagation , 1976 , 24 ( 5 ): 650 - 662 . DOI: 10.1109/tap.1976.1141416 http://dx.doi.org/10.1109/tap.1976.1141416

Zoltowski M D . On the performance analysis of the MVDR beamformer in the presence of correlated interference [J ] . IEEE Transactions on Acoustics, Speech, and Signal Processing , 1988 , 36 ( 6 ): 945 - 947 . DOI: 10.1109/29.1614 http://dx.doi.org/10.1109/29.1614

Duan Y L , Gong Y P , Yang X H , et al . Oblique projection-based covariance matrix reconstruction and steering vector estimation for robust adaptive beamforming [J ] . Electronics , 2022 , 11 ( 21 ): 3478 . DOI: 10.3390/electronics11213478 http://dx.doi.org/10.3390/electronics11213478

Han J Y , Ng B P , Er M H . Adaptive orientational beamforming techniques for narrowband interference rejection [J ] . Signal Processing , 2022 , 196 : 108495 . DOI: 10.1016/j.sigpro.2022.108495 http://dx.doi.org/10.1016/j.sigpro.2022.108495

Du L , Li J , Stoica P . Fully automatic computation of diagonal loading levels for robust adaptive beamforming [J ] . IEEE Transactions on Aerospace and Electronic Systems , 2010 , 46 ( 1 ): 449 - 458 . DOI: 10.1109/taes.2010.5417174 http://dx.doi.org/10.1109/taes.2010.5417174

Zhao X Y , Lin T , Zhu Y , et al . Partially-connected hybrid beamforming for spectral efficiency maximization via a weighted MMSE equivalence [J ] . IEEE Transactions on Wireless Communications , 2021 , 20 ( 12 ): 8218 - 8232 . DOI: 10.1109/twc.2021.3091524 http://dx.doi.org/10.1109/twc.2021.3091524

Capon J . High-resolution frequency-wavenumber spectrum analysis [J ] . Proceedings of the IEEE , 1969 , 57 ( 8 ): 1408 - 1418 . DOI: 10.1109/proc.1969.7278 http://dx.doi.org/10.1109/proc.1969.7278

Frost O L . An algorithm for linearly constrained adaptive array processing [J ] . Proceedings of the IEEE , 1972 , 60 ( 8 ): 926 - 935 . DOI: 10.1109/proc.1972.8817 http://dx.doi.org/10.1109/proc.1972.8817

郭乔鹤 , 李秀坤 , 李姝婷 , 等 . 基于子带分解的宽带自适应波束形成算法改进 [J ] . 振动与冲击 , 2023 , 42 ( 20 ): 230 - 236 .

Guo Qiaohe , Li Xiukun , Li Shuting , et al . Improvement of the broadband adaptive beamforming algorithm based on sub-band decomposition [J ] . Journal of Vibration and Shock , 2023 , 42 ( 20 ): 230 - 236 . (in Chinese)

Chen S R , Qi X L , Peng M G , et al . Anti-main-lobe jamming beamforming with covariance matrix reconstruction for wireless communication systems under jamming attacks [J ] . IEEE Transactions on Vehicular Technology , 2025 , 74 ( 4 ): 6168 - 6179 . DOI: 10.1109/tvt.2024.3515972 http://dx.doi.org/10.1109/tvt.2024.3515972

周静 , 鲍长春 , 张旭 . 基于聚焦信号子空间估计导向矢量的干扰声源抑制方法 [J ] . 电子学报 , 2023 , 51 ( 1 ): 76 - 85 .

Zhou Jing , Bao Changchun , Zhang Xu . Suppression method of the interference sound sources by estimated steering vector based on the focusing signal subspace [J ] . Acta Electronica Sinica , 2023 , 51 ( 1 ): 76 - 85 . (in Chinese)

Vorobyov S A , Gershman A B , Luo Z Q . Robust adaptive beamforming using worst-case performance optimization: A solution to the signal mismatch problem [J ] . IEEE Transactions on Signal Processing , 2003 , 51 ( 2 ): 313 - 324 . DOI: 10.1109/tsp.2002.806865 http://dx.doi.org/10.1109/tsp.2002.806865

Griffiths L , Jim C . An alternative approach to linearly constrained adaptive beamforming [J ] . IEEE Transactions on Antennas and Propagation , 1982 , 30 ( 1 ): 27 - 34 . DOI: 10.1109/tap.1982.1142739 http://dx.doi.org/10.1109/tap.1982.1142739

Buckley K , Griffiths L . An adaptive generalized sidelobe canceller with derivative constraints [J ] . IEEE Transactions on Antennas and Propagation , 1986 , 34 ( 3 ): 311 - 319 . DOI: 10.1109/tap.1986.1143832 http://dx.doi.org/10.1109/tap.1986.1143832

Chang D C , Zheng B W . Adaptive generalized sidelobe canceler beamforming with time-varying direction-of-arrival estimation for arrayed sensors [J ] . IEEE Sensors Journal , 2020 , 20 ( 8 ): 4403 - 4412 . DOI: 10.1109/jsen.2019.2962215 http://dx.doi.org/10.1109/jsen.2019.2962215

Yu S J , Ueng F B . Blind adaptive beamforming based on generalized sidelobe canceller [J ] . Signal Processing , 2000 , 80 ( 12 ): 2497 - 2506 . DOI: 10.1016/s0165-1684(00)00141-9 http://dx.doi.org/10.1016/s0165-1684(00)00141-9

Ward J , Compton R T . Sidelobe level performance of adaptive sidelobe canceller arrays with element reuse [J ] . IEEE Transactions on Antennas and Propagation , 1990 , 38 ( 10 ): 1684 - 1693 . DOI: 10.1109/8.59783 http://dx.doi.org/10.1109/8.59783

Carlson B D . Covariance matrix estimation errors and diagonal loading in adaptive arrays [J ] . IEEE Transactions on Aerospace and Electronic Systems , 1988 , 24 ( 4 ): 397 - 401 . DOI: 10.1109/7.7181 http://dx.doi.org/10.1109/7.7181

Liu Y Z , Zou Q Y , Lin Z P . Generalized sidelobe cancellers with leakage constraints [C ] // 2005 IEEE International Symposium on Circuits and Systems . Piscataway : IEEE , 2005 : 3741 - 3744 .

Wang X , Xie J L , He Z S , et al . A robust generalized sidelobe canceller via steering vector estimation [J ] . EURASIP Journal on Advances in Signal Processing , 2016 , 2016 : 59 . DOI: 10.1186/s13634-016-0358-7 http://dx.doi.org/10.1186/s13634-016-0358-7

Wang X R , Zhai W T , Farina A . A Unified Framework of adaptive sidelobe canceller design by antenna/subarray selection [J ] . Signal Processing , 2021 , 189 : 108243 . DOI: 10.1016/j.sigpro.2021.108243 http://dx.doi.org/10.1016/j.sigpro.2021.108243

Pesavento M , Gershman A B , Haardt M . Unitary root-MUSIC with a real-valued eigendecomposition: A theoretical and experimental performance study [J ] . IEEE Transactions on Signal Processing , 2000 , 48 ( 5 ): 1306 - 1314 . DOI: 10.1109/78.839978 http://dx.doi.org/10.1109/78.839978

Ginzberg Y , Efimov S , Cohen E . Robust mmWave beamforming via integration of digital IQ imbalance compensation and sparse-grid-based gain/phase calibration [J ] . IEEE Transactions on Antennas and Propagation , 2026 , 74 ( 1 ): 51 - 62 . DOI: 10.1109/tap.2025.3620033 http://dx.doi.org/10.1109/tap.2025.3620033

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