自动增益控制对非合作干扰对消性能建模分析

doi:10.12305/j.issn.1001-506X.2024.12.06

系统工程与电子技术 ›› 2024, Vol. 46 ›› Issue (12): 3981-3991.doi: 10.12305/j.issn.1001-506X.2024.12.06

• 电子技术 • 上一篇

自动增益控制对非合作干扰对消性能建模分析

王泽¹^,², 何方敏¹^,², 卢洽然¹^,², 张雲硕¹^,², 李哲宇¹^,², 孟进¹^,², 李亚星¹^,²^,*

1. 海军工程大学军用电气科学与技术研究所, 湖北武汉 420100
2. 海军工程大学电磁能技术全国重点实验室, 湖北武汉 420100

收稿日期:2023-10-25 出版日期:2024-11-25 发布日期:2024-12-30
通讯作者: 李亚星
作者简介:王泽(1997—), 男, 博士研究生, 主要研究方向为通信干扰对消、信道化接收
何方敏(1982—), 男, 研究员, 博士, 主要研究方向为电磁兼容、干扰对消、信号处理
卢洽然(1990—), 男, 博士研究生, 主要研究方向为通信干扰机理、电路设计
张雲硕(1995—), 男, 博士研究生, 主要研究方向为电磁防护、干扰对消
李哲宇(1996—), 女, 博士研究生, 主要研究方向为电磁防护、干扰对消
孟进(1977—), 男, 教授, 博士, 主要研究方向为电磁兼容理论、电磁干扰防护技术
李亚星(1988—), 男, 助理研究员, 博士, 主要研究方向为电磁防护、干扰对消
基金资助:
国家自然科学基金(52177012);国家杰出青年科学基金(52025072);电磁能技术全国重点实验室基金(614221722051301)

Modeling and analysis of automatic gain control for non-cooperative interference cancellation performance

Ze WANG¹^,², Fangmin HE¹^,², Qiaran LU¹^,², Yunshuo ZHANG¹^,², Zheyu LI¹^,², Jin MENG¹^,², Yaxing LI¹^,²^,*

1. Institute of Military Electrical Science and Technology, Naval Engineering University, Wuhan 420100, China
2. National Key Laboratory of Electromagnetic Energy, Naval Engineering University, Wuhan 420100, China

Received:2023-10-25 Online:2024-11-25 Published:2024-12-30
Contact: Yaxing LI

摘要/Abstract

摘要：

自动增益控制(automatic gain control, AGC)可以满足强干扰场景下非合作干扰对消系统对高动态的要求，如何定量表征其对干扰对消性能的影响, 是指导多通道AGC方案设计的关键。通过谱分析与特征子空间的方法推导得到AGC的稳态增益与自相关矩阵特征值的映射关系，建立干扰对消权值的瞬态模型。基于干扰对消权值的解析表达式，详细分析稳态增益对干扰对消性能的影响规律，揭示了稳态增益与稳定性、收敛速度以及对消比之间的定量关系。同时，进一步研究AGC的调控过程初始增益、步长、平均步长时间、多通道控制策略对干扰对消瞬态收敛特性的影响，可以有效指导多通道AGC方案设计。仿真结果验证了权值瞬态模型的正确性以及干扰对消性能分析结论的有效性。实验结果表明, 理论与仿真的分析结论可以用来指导AGC方案的工程实践。

关键词: 非合作干扰对消, 高动态, 自动增益控制, 权值瞬态模型, 干扰对消性能

Abstract:

Automatic gain control (AGC) can meet the high dynamic requirements of non-cooperative interference cancellation system under strong interference scenario. How to quantitatively represent the impact of AGC on interference cancellation performance is the key to guide the design of multi-channel AGC scheme. This article derives the mapping relationship between the steady-state gain of AGC and the eigenvalues of the autocorrelation matrix through spectral analysis and feature subspace methods, and establishes a transient model of interference cancellation weight. Based on the analytical expression of interference cancellation weight, the influence law of steady-state gain on interference cancellation performance is analyzed in detail, and the relationship between steady-state gain and stability, convergence speed, and cancellation ratio is quantitatively expressed. Furthermore, further research on the effects of initial gain, step size, average step time, and multi-channel control strategies on the transient convergence characteristics of interference cancellation in the adjustment and control process of AGC can effectively guide the design of multi-channel AGC scheme. Simulation results verify the correctness of the weight transient model and the effectiveness of the interference cancellation performance analysis conclusion. Experimental results indicate that the theoretical and simulation analysis conclusions can be used to guide the engineering practice of AGC schemes.

Key words: non-cooperative interference cancellation, high dynamic, automatic gain control (AGC), weight transient model, interference cancellation performance

中图分类号:

TN975

王泽, 何方敏, 卢洽然, 张雲硕, 李哲宇, 孟进, 李亚星. 自动增益控制对非合作干扰对消性能建模分析[J]. 系统工程与电子技术, 2024, 46(12): 3981-3991.

Ze WANG, Fangmin HE, Qiaran LU, Yunshuo ZHANG, Zheyu LI, Jin MENG, Yaxing LI. Modeling and analysis of automatic gain control for non-cooperative interference cancellation performance[J]. Systems Engineering and Electronics, 2024, 46(12): 3981-3991.

图/表 12

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参考文献 34

1	侯建军, 任杰. 非合作寡头博弈与干扰信道资源分配[J]. 北京理工大学学报, 2015, 35 (1): 68- 71.
	HOU J J , REN J . Non-cooperative stackelberg game and resource allocation in interference channels[J]. Journal of Beijing Institute of Technology, 2015, 35 (1): 68- 71.
2	CHENG C H , JAMES T S . An introduction to electronic warfare: from the first jamming to machine learning techniques[M]. Beijing: Electronic Industry Press, 2022.
3	TEGLER J . Electronic warfare[J]. National Defense, 2022, 107 (827): 136- 146.
4	ZHANG Y S , JIA X . Adaptive interference suppression for DSSS communications based on compressive sensing[J]. International Journal of Communication Systems, 2018, 31 (11): 389- 396.
5	QIN H D , HE F M , MENG J , et al. Analysis and optimal design of radio-frequency interference adaptive cancellation system with delay mismatch[J]. IEEE Trans. on Electromagnetic Compatibility, 2019, 61 (6): 2015- 2023. doi: 10.1109/TEMC.2019.2950718
6	范新峰, 谭志良. 基于数字对消的跟踪干扰抑制方法[J]. 系统工程与电子技术, 2020, 42 (6): 1235- 1240. doi: 10.3969/j.issn.1001-506X.2020.06.05
	FAN X F , TAN Z L . Tracking interference suppression method based on digital cancellation[J]. Systems Engineering and Electronics, 2020, 42 (6): 1235- 1240. doi: 10.3969/j.issn.1001-506X.2020.06.05
7	孟进, 何方敏, 李亚星, 等. L波段高速跳频数据链非合作干扰对消装置及方法[P]. 中国: CN114513228B, 2022-07-15.
	MENG J, HE F M, LI Y X, et al. L-band high-speed frequency hopping data link non-cooperative interference cancellation device and method[P]. China: CN114513228B, 2022-07-15.
8	孟进, 王青, 何方敏, 等. Ku和Ka双频段卫通地面站的多频点干扰对消装置及方法[P]. 中国: CN113922889B, 2022-02-22.
	MENG J, WANG Q, HE F M, et al. Multi frequency interfe-rence cancellation device and method for Ku and Ka dual band ground stations[P]. China: CN113922889B, 2022-02-22.
9	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 H D , MENG J , HE F M , et al. Broadband radio frequency interference cancellation and optimization design of multi tap structure[J]. Systems Engineering and Electronics, 2023, 45 (9): 2681- 2689. doi: 10.12305/j.issn.1001-506X.2023.09.05
10	许彤, 陈亚洲, 王玉明, 等. 无人机数据链带内连续波电磁干扰效应研究[J]. 北京理工大学学报, 2021, 41 (10): 1084- 1094.
	XU T , CHEN Y Z , WANG Y M , et al. Research on in-band continuous wave electromagnetic interference effects of unmanned aerial vehicle data link[J]. Journal of Beijing Institute of Technology, 2021, 41 (10): 1084- 1094.
11	KIHARA T , TAKAHASHI T , YOSHIMURA T . Digital mismatch correction for bandpass sampling four-channel time-interleaved ADCs in direct-RF sampling receivers[J]. IEEE Trans. on Circuits and Systems Ⅰ: Regular Papers, 2019, 66 (6): 2007- 2016. doi: 10.1109/TCSI.2019.2903650
12	HOSSEINI S A , TOULABI M , DOBAKHSHARI A S , et al. Delay compensation of demand response and adaptive distur-bance rejection applied to power system frequency control[J]. IEEE Trans. on Power Systems, 2020, 35 (3): 2037- 2046. doi: 10.1109/TPWRS.2019.2957125
13	SUJAN C , MEHEDI H . Design of an automatic gain control loop for high-speed communication[J]. International Journal of Circuit Theory and Applications, 2022, 51 (1): 47- 66.
14	CHENG X , XIE G J , YANG Y Z , et al. Fast-settling feedforward automatic gain control based on a new gain control approach[J]. IEEE Trans. on Circuits and Systems Ⅱ: Express Briefs, 2014, 61 (9): 651- 655. doi: 10.1109/TCSII.2014.2331097
15	ROSSOUW J M , FABIO G , ALEXANDER R , et al. Wide-band interference mitigation in GNSS receivers using sub-band automatic gain control[J]. Sensors, 2022, 22 (2): 679. doi: 10.3390/s22020679
16	SHEN Y Y , WANG Y Q , SHENG D W , et al. Digital AGC based on coherent adjustment cycle for DSSS receiver[J]. China Communications, 2015, 12 (2): 95- 106. doi: 10.1109/CC.2015.7084405
17	WU H , LI J , DAI B , et al. Analysis of the impact of AGC on cyclic prefix length for OFDM systems[J]. IEEE Trans. on Communications, 2018, 66 (10): 4783- 4794.
18	WU H , LI J . Analysis and mitigation of ICI due to gain adjustment in OFDM systems[J]. IEEE Access, 2019, 7 (7): 21807- 21815.
19	KANG H , NO J S . New automatic gain control algorithm in high adjacent channel interference environment for single carrier wireless communication systems[J]. The Journal of Korean Institute of Communications and Information Sciences, 2019, 44 (1): 38- 47. doi: 10.7840/kics.2019.44.1.38
20	YANG X P , LI S , LIU Q H , et al. Robust wideband adaptive beamforming based on focusing transformation and steering vector compensation[J]. IEEE Antennas and Wireless Propagation Letters, 2020, 19 (12): 2280- 2284. doi: 10.1109/LAWP.2020.3029950
21	GANZ M W , COMPTON R T . A data-derived reference signal technique for adaptive arrays[J]. IEEE Trans. on Communications, 1989, 37 (9): 975- 983. doi: 10.1109/26.35378
22	COMPTON R T . An adaptive array in an am communication system[J]. Plastic & Reconstructive Surgery, 2003, 111 (6): 2104- 2105.
23	CHEN X Z , SHU T , YU K B , et al. Implementation of an adaptive wideband digital array radar processor using subbanding for enhanced jamming cancellation[J]. IEEE Trans. on Aerospace and Electronic Systems, 2021, 57 (2): 762- 775. doi: 10.1109/TAES.2020.3042764
24	YANG Z L , JIN J , LIU X M , et al. A sub-1-GHz band high-dynamic-range receiver with integrated self-adaptive multipart AGC loops[J]. IEEE Trans. on Microwave Theory and Techniques, 2021, 69 (6): 3146- 3157. doi: 10.1109/TMTT.2021.3072584
25	YASIN M , KHAN M J . Development of blind algorithm with automatic gain control[J]. Wireless Networks, 2019, 26 (4): 1- 10.
26	CUNHA T E B , LAMARE R C , ROBERTS N D , et al. Joint AGC and receiver design for large-scale MU-MIMO systems with low-resolution signals in C-RANs[J]. IET Communications, 2020, 14 (21): 3791- 3801. doi: 10.1049/iet-com.2020.0546
27	JALAL B , YANG X P , LIU Q H , et al. Fast and robust variable-step-size LMS algorithm for adaptive beamforming[J]. IEEE Antennas and Wireless Propagation Letters, 2020, 19 (7): 1206- 1210. doi: 10.1109/LAWP.2020.2995244
28	王帅, 张杰, 张彦峰. 射频接收机中自动增益控制电路建模与设计[J]. 无线电通信技术, 2019, 45 (4): 419- 424.
	WANG S , ZHANG J , ZHANG Y F . Modeling and design of automatic gain control circuit for RF receiver[J]. Radio Communications Technology, 2019, 45 (4): 419- 424.
29	井永成, 尹军舰, 李仲茂, 等. AGC环路设计的Matlab-Simulink模型建模及验证[J]. 现代电子技术, 2019, 42 (6): 83- 87.
	JING Y C , YIN J J , LI Z M , et al. Design and verification of AGC loop model based on Matlab-Simulink[J]. Modern Electronic Technology, 2019, 42 (6): 83- 87.
30	IMANA E Y , YANG T , REED J H . Addressing a neighboring-channel interference from high-powered radar[J]. IEEE Trans. on Vehicular Technology, 2016, 65 (5): 2872- 2882. doi: 10.1109/TVT.2015.2442217
31	CHEN J , RICHARD C , SONG Y Y , et al. Transient perfor-mance analysis of zero-attracting LMS[J]. IEEE Signal Processing Letters, 2016, 23 (12): 1786- 1790. doi: 10.1109/LSP.2016.2616890
32	HUA F , NASSIF R , RICHARD C , et al. Diffusion LMS with communication delays: stability and performance analysis[J]. IEEE Signal Processing Letters, 2020, 27 (2): 730- 734.
33	QIU Y W , LIN J , LIU F , et al. Continuous random process modeling of AGC signals based on stochastic differential equations[J]. IEEE Trans. on Power Systems, 2021, 36 (5): 4575- 4587. doi: 10.1109/TPWRS.2021.3058681
34	李文, 陈爱新, 王学锋, 等. 多服务低速率数字光载射频系统中的新型自动增益控制算法设计[J]. 电子与信息学报, 2021, 43 (4): 1090- 1097.
	LI W , CHEN A X , WANG X F , et al. Design of a novel automatic gain control algorithm for multi service low-rate digital optical RF systems[J]. Journal of Electronics and Information Technology, 2021, 43 (4): 1090- 1097.

仿真参数	取值
采样率/Mbps	200
采样点数	10e6
主/辅天线个数	1/1
干扰源个数	1
干扰信号类型	单音干扰
干扰信号载波频率/MHz	100
主/辅通道延时/ns	1
热噪声功率/dBm	-104.77
ADC量化噪声/dBm	-84.33
接收端干扰信号功率/dBm	-66.02

仿真工况	参数设置
仿真工况	初始增益/dB	步长/dB	步长时间/ms
工况1	0
工况2	10	2	1
工况3	20
工况4		2
工况5	0	5	1
工况6		8
工况7			1
工况8	0	2	1.5
工况9			2

稳态增益	干扰对消比
10	70.2
20	77.8
30	83.3
40	87.4
50	87.5
60	87.5

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[4]	刘艺, 周晓雄, 程广俊. 高动态跳频载波跟踪技术[J]. 系统工程与电子技术, 2022, 44(2): 677-683.
[5]	李文刚, 王屹伟. 高动态下导频辅助的GNSS信号比特同步方法[J]. 系统工程与电子技术, 2018, 40(2): 255-260.
[6]	杨秦彪1, 王祖林1,2, 黄勤1, 裴睿淋1. #br# 高动态链路中折叠PMF-FFT快速捕获方法[J]. 系统工程与电子技术, 2016, 38(8): 1723-1729.
[7]	崔诵祺，安建平，王爱华. 机动目标模型匹配卡尔曼滤波载波跟踪算法[J]. 系统工程与电子技术, 2014, 36(2): 376-381.
[8]	王亮，康凤举，吴成富，杨琰. 机载差分GPS效能室内评估系统构建方法[J]. 系统工程与电子技术, 2013, 35(12): 2589-2594.
[9]	霍永青，彭启琮. 高动态范围图像及反色调映射算子[J]. Journal of Systems Engineering and Electronics, 2012, 34(4): 820-826.
[10]	张敏虎, 任章, 华春红. 惯性信息辅助的高动态弱GPS信号快速捕获[J]. Journal of Systems Engineering and Electronics, 2011, 33(2): 366-369.
[11]	赵琳,高帅和,丁继成. 基于FFT的高动态GPS信号捕获方法优化[J]. Journal of Systems Engineering and Electronics, 2011, 33(1): 151-0156.
[12]	马永奎, 张一, 张中兆, 马广富. 改进的高动态高灵敏度GPS信号捕获算法[J]. Journal of Systems Engineering and Electronics, 2009, 31(2): 265-269.

自动增益控制对非合作干扰对消性能建模分析

Modeling and analysis of automatic gain control for non-cooperative interference cancellation performance

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