面向线性调频干扰的空频自适应处理算法

doi:10.12305/j.issn.1001-506X.2023.12.07

摘要/Abstract

摘要：

针对卫星导航应用中线性调频(linear frequency modulated, LFM)干扰统计特征时变引起的抗干扰性能下降问题, 提出了一种基于数据空时频三维特征分组的空频自适应处理(space-frequency adaptive processing, SFAP)算法。首先通过时频分析方法获取采样数据的时域、频域联合分布, 并利用空间相关系数分析相同频率干扰在不同时间的空间相关性, 然后对SFAP的采样数据进行分组, 将不同时间具有相同频率和到达角参数的采样点分到相同组, 最后利用分组后的数据进行协方差矩阵估计、权值计算和自适应滤波, 提高了干扰特征值、增加了零陷深度、提升了抗干扰能力。仿真结果表明, 所提算法可有效提升卫星导航接收机对LFM干扰的抑制能力, 且对存在单个和多个LFM干扰的场景均能适用。

关键词: 卫星导航, 抗干扰, 空频自适应处理, 线性调频干扰

Abstract:

Aiming at the problem of anti-jamming performance degradation caused by time-varying statistical characteristics of linear frequency modulated (LFM) interference in satellite navigation application, a space-frequency adaptive processing (SFAP) algorithm based on data grouping by space-time-frequency three-dimensional feature grouping is proposed. Firstly, the time-frequency analysis method is used to obtain the joint distribution of sampling data in time domain and frequency domain, and the spatial correlation coefficient is used to analyze the spatial correlation of the same frequency interference at different times. Secondly, the sampling data of SFAP are grouped, and the sampling points with the same frequency and direction of arrival (DOA) parameters at different times are divided into the same group. Finally, the covariance matrix estimation, weight calculation, and adaptive filtering are carried out by using the grouped data to improve the interference eigenvalue value, the null depth, and the anti-jamming ability. Simulation results show that the algorithm can effectively improve the suppression ability of satellite navigation receivers'LFM interference, and can be applied to the scene both with single LFM interference or multiple LFM interference.

Key words: satellite navigation, anti-jamming, space-frequency adaptive processing (SFAP), linear frequency modulated (LFM) interference

中图分类号:

TN967.1

刘鹏, 王盾, 彭博. 面向线性调频干扰的空频自适应处理算法[J]. 系统工程与电子技术, 2023, 45(12): 3772-3780.

Peng LIU, Dun WANG, Bo PENG. Space-frequency adaptive processing algorithm for LFM interference[J]. Systems Engineering and Electronics, 2023, 45(12): 3772-3780.

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参考文献 30

1	GAO Y J , LI G Y , LYU Z W , et al. Improved adaptively robust estimation algorithm for GNSS spoofer considering continuous observation error[J]. Journal of Systems Engineering and Electronics, 2022, 33 (5): 1237- 1248. doi: 10.23919/JSEE.2022.000118
2	XUE B , WANG H T , YUAN Y B . Performance of BeiDou-3 signal-in-space ranging errors: accuracy and distribution[J]. GPS Solutions, 2021, 25 (1): 23. doi: 10.1007/s10291-020-01057-z
3	YANG Y F , YANG Y X , HU X G , et al. BeiDou-3 broadcast clock estimation by integration of observations of regional tracking stations and inter-satellite links[J]. GPS Solutions, 2021, 25 (2): 57. doi: 10.1007/s10291-020-01067-x
4	FU D , LI X J , MOU W H , et al. Navigation jamming signal recognition based on long short-term memory neural networks[J]. Journal of Systems Engineering and Electronics, 2022, 33 (4): 835- 844. doi: 10.23919/JSEE.2022.000083
5	QIN W , GAMBA M T , FALLETTI E , et al. An assessment of impact of adaptive notch filters for interference removal on the signal processing stages of a GNSS receiver[J]. IEEE Trans.on Aerospace and Electronic Systems, 2020, 56 (5): 4067- 4082. doi: 10.1109/TAES.2020.2990148
6	LU Z K , CHEN F Q , XIE Y C , et al. High precision pseudo-range measurement in GNSS anti-jamming antenna array processing[J]. Electronics, 2020, 9 (3): 412. doi: 10.3390/electronics9030412
7	HRBEK S J , SHIVARAMAIAH N C , AKOS D M . Filtering and quantization effects on GNSS successive interference cancellation[J]. IEEE Trans.on Aerospace and Electronic Systems, 2020, 56 (2): 924- 936. doi: 10.1109/TAES.2019.2935959
8	FANTE R L , VACCARO J J . Wideband cancellation of interference in a GPS receive array[J]. IEEE Trans.on Aerospace and Electronic Systems, 2000, 36 (2): 549- 564. doi: 10.1109/7.845241
9	WANG H Y , YAO Z C , FAN Z L , et al. A robust STAP beamforming algorithm for GNSS receivers in high dynamic environment[J]. Signal Processing, 2020, 172, 107532. doi: 10.1016/j.sigpro.2020.107532
10	LEE K , LEE J . Design and evaluation of symmetric space-time adaptive processing of an array antenna for precise global navigation satellite system receivers[J]. IET Signal Process, 2017, 11 (6): 758- 764. doi: 10.1049/iet-spr.2016.0277
11	CHEN Y H, WANG D, LIU P, et al. An improved approach of SFAP algorithm for suppressing concurrent narrowband and wideband interference[C]//Proc. of the China Satellite Navigation Conference, 2016: 69-80.
12	GUPTA I J , MOORE T D . Space-frequency adaptive processing (SFAP) for radio frequency interference mitigation in spread-spectrum receivers[J]. IEEE Trans.on Antennas and Propagation, 2004, 52 (6): 1611- 1615. doi: 10.1109/TAP.2004.829850
13	COMPTON R T . The relationship between tapped-line and FFT processing in adaptive arrays[J]. IEEE Trans.on Antennas and Propagation, 1988, 36 (1): 15- 26. doi: 10.1109/8.1070
14	王永良, 丁前军, 李荣锋. 自适应阵列处理[M]. 北京: 清华大学出版社, 2009.
	WANG Y L , DING Q J , LI R F . Adaptive array processing[M]. Beijing: Tsinghua University Press, 2009.
15	唐向宏, 李齐良. 时频分析与小波变换[M]. 2版北京: 科学出版社, 2016.
	TANG X H , LI Q L . Time frequency analysis and wavelet transform[M]. 2nd ed Beijing: Science Press, 2016.
16	ZHANG Y M , MU W F , AMIN M G . Subspace analysis of spatial time-frequency distribution matrices[J]. IEEE Trans.on Signal Processing, 2001, 49 (4): 747- 759. doi: 10.1109/78.912919
17	唐明磊, 张文鹏, 姜卫东, 等. 基于多分辨率显著性滤波的微动信号增强方法[J]. 系统工程与电子技术, 2022, 44 (4): 1148- 1157.
	TANG M L , ZHANG W P , JIANG W D , et al. Micro-motion signal enhancement method based on multi-resolution saliency filtering[J]. Systems Engineering and Electronics, 2022, 44 (4): 1148- 1157.
18	TU X B , XU X M , ZOU Z G , et al. Fractional Fourier domain hopped communication method based on chirp modulation for underwater acoustic channels[J]. Journal of Systems Engineering and Electronics, 2017, 28 (3): 449- 456. doi: 10.21629/JSEE.2017.03.05
19	ABU I S A , YOUSEF M I , TARRAD I F . Enhanced energy detectors utilizing wavelet and RLS de-noising filters in cognitive radio[J]. International Journal of Advanced Science and Technology, 2019, 127 (10): 59- 76.
20	SHI J , ZHENG J B , LIU X P , et al. Novel short-time fractional Fourier transform: theory, implementation, and applications[J]. IEEE Trans.on Signal Processing, 2020, 68, 3280- 3295. doi: 10.1109/TSP.2020.2992865
21	邹芳, 周欢, 鲜明. 一种空域-时频域联合的抗干扰算法[J]. 电光与控制, 2007, 14 (1): 48- 51.
	ZOU F , ZHOU H , XIAN M . A space-time-frequency adaptive processing anti-jamming algorithm[J]. Electronics Optics and Control, 2007, 14 (1): 48- 51.
22	ZHANG Y M , AMIN M G . Array processing for nonstationary interference suppression in DS/SS communications using subspace projection techniques[J]. IEEE Trans.on Signal Processing, 2001, 49 (12): 3005- 3014. doi: 10.1109/78.969509
23	BELOUCHRANI A , AMIN M G . Time-frequency MUSIC[J]. IEEE Signal Processing Letters, 1999, 6 (5): 109- 110. doi: 10.1109/97.755429
24	刘影, 谢驰. 基于小波分析的改进旁瓣相消宽带信号波束形成算法[J]. 电子科技大学学报, 2018, 47 (1): 25- 29.
	LIU Y , XIE C . Improved sidelobe cancellation algorithm for wideband beamforming based on wavelet[J]. Journal of University of Electronic Science and Technology of China, 2018, 47 (1): 25- 29.
25	刘影, 谢驰. 基于小波时间延迟估计的宽带信号波束形成算法研究[J]. 电子科技大学学报, 2018, 47 (2): 183- 188.
	LIU Y , XIE C . Broadband signal beamforming algorithm based on the wavelet and time delay estimation[J]. Journal of University of Electronic Science and Technology of China, 2018, 47 (2): 183- 188.
26	LIU P, WANG D, REN Q, et al. Space-frequency adaptive processing algorithm based on STFT for LFM interference suppression[C]//Proc. of the China Satellite Navigation Conference, 2022: 467-481.
27	王强, 孟晨, 王成, 等. 基于分数阶Gabor变换的LFM回波信号压缩采样方法[J]. 系统工程与电子技术, 2022, 44 (4): 1103- 1112.
	WANG Q , MENG C , WANG C , et al. Compressive sampling method based on fractional Gabor transform for LFM echo signals[J]. Systems Engineering and Electronics, 2022, 44 (4): 1103- 1112.
28	ZHOU Y W , ZHANG F Z , PAN S L . Instantaneous frequency analysis of broadband LFM signals by photonics-assisted equi-valent frequency sampling[J]. Chinese Optics Letters, 2021, 19 (1): 0139011.
29	FAN H Y , REN L X , MAO E K , et al. A high-precision phase-derived velocity measurement method for high-speed targets based on wideband direct sampling LFM radar[J]. IEEE Trans.on Geoscience and Remote Sensing, 2019, 57 (12): 10147- 10163.
30	LI X M , WANG H L , LUO H C . A compressed sampling receiver based on modulated wideband converter and a parameter estimation algorithm for fractional bandlimited LFM signals[J]. Circuits, Systems, and Signal Processing, 2021, 40 (2): 918- 957.

干扰编号	方位角/ (°)	俯仰角/ (°)	起止频率/ MHz	调频斜率/ (MHz/ms)	干信比/ dB
1	200	50	1 258.52~1 278.52	403.646	100
2	20	50	1 278.52~1 258.52	-403.646	100

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