基于稀疏贝叶斯学习的调频引信抗扫频干扰方法

魏铭宇; 郝新红; 杨瑾; 周文; 杨秋燕

doi:10.12382/bgxb.2024.1148

您当前的位置：

首页 >

文章列表页 >

基于稀疏贝叶斯学习的调频引信抗扫频干扰方法

更新时间：2026-04-24

- 基于稀疏贝叶斯学习的调频引信抗扫频干扰方法
- Anti-sweep Jamming Method for Frequency-modulated Fuze Based on Sparse Bayesian Learning
- 兵工学报 2026年47卷第2期页码：241148
- 作者机构：
  
  北京理工大学机电动态控制重点实验室，北京 100081
- 作者简介：
  
  通信作者邮箱：haoxinhong@bit.edu.cn
- 基金信息：
- DOI：10.12382/bgxb.2024.1148
  中图分类号： TJ301
- 收稿：2024-12-25，
  
  网络首发：2025-12-25，
  
  纸质出版：2026-02-28
- 稿件说明：
移动端阅览
魏铭宇, 郝新红, 杨瑾, 等. 基于稀疏贝叶斯学习的调频引信抗扫频干扰方法[J]. 兵工学报, 2026,47(2):241148.

WEI Mingyu, HAO Xinhong, YANG Jin, et al. Anti-sweep Jamming Method for Frequency-modulated Fuze Based on Sparse Bayesian Learning[J]. Acta Armamentarii, 2026, 47(2): 241148.
魏铭宇, 郝新红, 杨瑾, 等. 基于稀疏贝叶斯学习的调频引信抗扫频干扰方法[J]. 兵工学报, 2026,47(2):241148. DOI： 10.12382/bgxb.2024.1148.

WEI Mingyu, HAO Xinhong, YANG Jin, et al. Anti-sweep Jamming Method for Frequency-modulated Fuze Based on Sparse Bayesian Learning[J]. Acta Armamentarii, 2026, 47(2): 241148. DOI： 10.12382/bgxb.2024.1148.

摘要

连续波调频引信在复杂电磁环境中抗扫频干扰方面存在不足，为此提出一种结合时域干扰剔除与稀疏信号重构的抗干扰新思路。首先利用Sumthreshold算法精准定位并置零时域差频信号中的高强度干扰脉冲，从根本上消除干扰对测距的影响；进而，针对干扰剔除后信号缺失所引发的稀疏性问题，引入稀疏贝叶斯学习算法，通过建立贝叶斯推理模型并优化超参数估计，高效重构目标二维矩阵，从而克服速度测量模糊。仿真和实测实验结果表明，该方法鲁棒性极强，基于稀疏贝叶斯学习的抗扫频干扰方法能够在低信噪比，高样本置零率的条件下，依然能准确恢复目标距离与速度信息，其峰值旁瓣比优于多种现有主流算法，显著提升了引信在恶劣电磁环境下的探测可靠性与抗干扰性能。

Abstract

The frequency-modulated continuous-wave(FMCW)fuzes exhibit deficiencies in anti-sweep jamming in complex electromagnetic environment. To address this issue

an anti-jamming method integrating time-domain interference excision and sparse signal reconstruction is proposed. The high-intensity interference pulses in the time-domain differential frequency signal are accurately located and zero out using the SumThreshold algorithm

thereby fundamentally eliminating the jammingˊs impact on ranging. Subsequently

the sparse Bayesian learning(SBL)algorithm is introduced to tackle the sparsity issue arising from signal loss post-excision. SBL algorithm is used to efficiently reconstruct the target two-dimensional matrix by establishing a Bayesian inference model and optimizing the hyperparameter estimation

thus overcoming the velocity measurement ambiguity. The simulated and measured resukts demonstrate that the SBL-based anti-sweep jamming method has strong robustness. It can accurately recover the target range and velocity information even under the conditions of low signal-to-noise ratio and high sample zero-setting rate. Furthermore

The peak-to-sidelobe ratio(PSLR)achieved with this method is superior to those of several existing mainstream algorithms

significantly enhancing the detection reliability and anti-jamming performance of fuze in harsh electromagnetic environments.

关键词

Keywords

references

崔占忠,宋世和,徐立新.近炸引信原理[M].第3版.北京：北京理工大学出版社, 2009: 18-38.

CUI Z Z,SONG S H,XU L X. Principle of proximity fuze[M].3rd edition. Beijing: Beijing Institute of Technology Press, 2009:18-38. (in Chinese)

赵惠昌.无线电引信设计原理与方法[M].北京：国防工业工业出版社, 2012: 35-46.

ZHAO H C. Principles and methods of radio fuze design[M]. Beijing:National Defense Industry Press, 2012: 35-46. (in Chinese)

周文,郝新红,杨瑾,等.密集扫频干扰下调频连续波引信响应特性[J].兵工学报,2024,45(7):2251-2259.

ZHOU W,HAO X H,YANG J,et al. Response characteristics of frequency modulation continuous wave fuze under dense sweep jamming[J]. Acta Armamentarius, 2024, 45(7):2251-2259. (in Chinese)

KUMBUL U, CHEN Y, PETROV N, et al. Impacts of mutual interference analysis in FMCW automotive radar[C]∥Proceedings of the 17th European Conference on Antennas and Propagation. Florence, Italy:IEEE. 2023,8:26-31.

WANG J P, DING M,LEXANDER Y, Interference mitigation for FMCW radar with sparse and low-rank Hankel matrix decomposition[J]. IEEE Transactions on Signal Processing, 2022, 70:822-834.

CHEN Q L,REN S K,HAO X H,et al. Interference mitigation for FMCW radar based on filtering in fractional Fourier domain[J]. IEEE Transactions on Aerospace and Electronic Systems, 2024, 12:1-16.

ZHOU W, HAO X H, YANG J, et al. Interference mitigation method for millimeter-wave frequency-modulation continuous-wave radar based on outlier detection and variational modal decomposition[J].Remote Sensing,2023, 15(14):45-64.

杨秋燕,郝新红,乔彩霞,等.基于恒虚警检测的线性调频引信抗扫频式干扰方法[J/OL].北京航空航天大学学报, 1-15[2025-12-08]. https://doi.org/10.13700/j.bh.1001-5965.2023.0660..

YANG Q Y,HAO X H,QIAO C X,et al. Anti-frequency sweeping jamming method for linear FMCW fuze based on CFAR[J/OL]. Journal of Beijing University of Aeronautics and Astronautics. 1-15[2025-12-08]. https://doi.org/10.13700/j.bh.1001-5965.2023.0660. (in Chinese)

陈齐乐,钱鹏飞,孔志杰,等.基于变分信号分解的脉冲多普勒雷达抗扫频式干扰方法[J].兵工学报,2024,45(6):2076-2084.

CHEN Q L, QIAN P F, KONG Z J, et al. Anti-sweep-jamming method for PD radar based on variational signal decomposition[J]. Acta Armamentarii,2024, 45(6):2076-2084. (in Chinese)

MUN J, KIM H, LEE J. A deep learning approach for automotive radar interference mitigation[C]∥ Proceedings of the 2018 IEEE 88th Vehicular Tech nology Conference. Chicago,IL, US: IEEE, 2018: 1-5.

RISTEA N C, ANGHEL A, IONESCU R T. Fully convolutional neural networks for automotive radar interference mitigation[C]∥Proceedings of the 2020 IEEE 92nd Vehicular Technology Conference. Victoria, BC, Canada: IEEE, 2020: 1-5.

杨瑾,郝新红,周文,等.基于异值检测及干扰样本归零的调频引信抗扫频干扰方法[J].探测与控制学报,2023, 45(5):22-26.

YANG J, HAO X H, ZHOU W, et al. FM fuze anti-sweep interference based on heterogeneity detection and zero ilnterference samples[J]. Journal of Detection & Control,2023, 45(5):22-26. (in Chinese)

BABUI G. Processing of dual-orthogonal CW polarimetric radar signals[D]. The Netherlands: Delft University of Technology, 2009.

ZHANG Z, RAO B D. Sparse signal recovery with temporally correlated source vectors using sparse Bayesian learning[J]. IEEE Journal of Selected Topics in Signal Processing, 2011,5:912-926.

ZHONG J R, WEN G J, MA C H, et al. Radar signal reconstruction algorithm based on complex block sparse Bayesian learning[C]∥ Proceedings of the 2014 12nd International Conference on Signal Processing. Hangzhou, China:IEEE 2014:1930-1933.

HASSAAN H, JAWAD A S, IKEAM S, et al. Sparse signal recovery from compressed measurements using hybrid particle swarm optimization[C]∥ Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications. Kuching, Malaysia:IEEE,2017: 429-433.

SALEH M, OMAR S M, GRIVEL E, et al. A modified stepped frequency phase coding radar waveform designed for the frequency domain algorithm[J]. Digital Signal Processing, 2019, 88:101-115.

JI J, ZHENG S L, ZHANG X M. Pre-distortion compensation for optical-based broadband LFM signal generation system[J]. Optics Communications, 2019, 435: 277-282.

杨瑾,郝新红,乔彩霞,等.基于稀疏恢复的调频引信抗扫频干扰方法[J].兵工学报,2024,45(6):2044-2053.

YANG J, HAO X H, QIAO C X, et al. Research on anti-frequency sweeping jamming method for frequency research on anti-frequency sweeping jamming method for frequency[J]. Acta Armamentarii,2024,45(6):2044-2053. (in Chinese)

周文,郝新红,董二娃,等.基于滑动多周期FFT的调频引信抗扫频干扰方法[J].兵工学报, 2023, 44(6):1744-1753.

ZHOU W, HAO X H, DONG E W, et al. Anti-sweep interference method for FM fuze based on sliding multi period FFT[J]. Acta Armamentarii, 2023, 44 (6) :1744-1753. (in Chinese)

WU J Y,YANG S Y,LU W,et al. Iterative modified threshold method based on EMD for interference suppression in FMCW radars[J]. IET Radar,Sonar & Navigation, 2020,14(8):1219-1228.

LEE S,LEE J Y,KIM S C. Mutual interference suppression using wavelet denoising in automotive FMCW radar systems[J]. IEEE Transactions on Intelligent Transportation Systems, 2019,22(2):887-897.

浏览量

下载量

CNKI被引量

文章被引用时，请邮件提醒。

提交

工具集

关联资源

连续波调频引信分数域匹配阶抗扫频干扰方法

基于稀疏恢复的调频引信抗扫频干扰方法

存在幅相误差下的稳健稀疏贝叶斯二维波达方向估计

基于滑动多周期FFT的调频引信抗扫频干扰方法