快慢时间域联合处理抑制C&I干扰

doi:10.3969/j.issn.1001-506X.2020.06.10

Abstract

Abstract:

Smeared spectrum (SMSP) jamming and chopping and interleaving (C&I) jamming are invented to counter linear frequency modulation (LFM) pulse compression radar. Compared with SMSP jamming, C&I jamming is more similar to the radar transmitting signal, and more difficult to be suppressed. To solve this problem, a jamming suppression algorithm is proposed under the background of coherent radar countering C&I jamming. This paper studies the time-frequency characteristics of the jamming signal and the effect on coherent radar under the situation of stand-off jamming. On this basis, the jamming parameters such as position, amplitude, Doppler frequency, sampling period and sampling pulse width are estimated by joint processing in fast-slow time domain, and then the jamming signal is reconstructed. By subtracting the reconstructed signal from the echo, the purpose of jamming suppression is finally realized. The simulation results verifiy the feasibility and effectiveness of the proposed algorithm.

Key words: chopping and interleaving (C&I) jamming, jamming reconstruction, jamming cancellation

CLC Number:

TN947

Liang ZHANG, Guohong WANG, Xiangyu ZHANG, Siwen LI. Fast-slow time domain joint processing to suppress C&I jamming[J]. Systems Engineering and Electronics, 2020, 42(6): 1274-1282.

Figures/Tables 19

Fig.1

Fig.2

Table 1

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

Fig.8

Fig.9

Fig.10

Fig.11

Fig.12

Fig.13

Fig.14

Fig.15

Fig.16

Fig.17

Fig.18

References 24

1	GRECO M , GINI F , FARINA A . Radar detection and classification of jamming signals belonging to a cone class[J]. IEEE Trans.on Signal Processing, 2008, 56 (5): 1984- 1993.
2	SPARROW M J, CIKALO J.ECM techniques to counter pulse compression radar[P].United States Patent: 7081846, 2006.
3	LI X , WANG C Y , YUAN H , et al. Smeared spectrum jamming suppression based on time unit analysis and polarization cancellation[J]. Cluster Computing, 2019, 22, 14367- 14375.
4	DING L M , LI R F , WANG Y L , et al. Discrimination and identification between mainlobe repeater jamming and target echo by basis pursuit[J]. IET, Radar, Sonar & Navigation, 2017, 11 (1): 11- 20.
5	原慧, 王春阳, 安磊, 等. 基于信号重构的频谱弥散干扰抑制方法[J]. 系统工程与电子技术, 2017, 39 (5): 961- 967.
	YUAN H , WANG C Y , AN L , et al. Smeared spectrum jamming suppression method based on signal reconstruction[J]. Systems Engineering and Electronics, 2017, 39 (5): 961- 967.
6	李欣, 王春阳, 原慧, 等. 基于干扰重构和峭度最大化的SMSP干扰抑制方法[J]. 北京航空航天大学学报, 2018, 44 (6): 1176- 1184.
	LI X , WANG C Y , YUAN H , et al. SMSP jamming suppression method based on jamming reconstruction and Kurtosis maximum[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44 (6): 1176- 1184.
7	赵杨, 尚朝轩, 韩壮志, 等. 分数阶傅里叶和压缩感知自适应抗频谱弥散干扰[J]. 电子与信息学报, 2019, 41 (5): 1048- 1053.
	ZHAO Y , SHANG C X , HAN Z Z , et al. Fractional Fourier transform and compressed sensing adaptive countering smeared spectrum jamming[J]. Journal of Electronics & Information Technology, 2019, 41 (5): 1048- 1053.
8	卢云龙, 李明, 曹润清, 等. 联合时频分布和压缩感知对抗频谱弥散干扰[J]. 电子与信息学报, 2016, 38 (12): 3275- 3281.
	LU Y L , LI M , CAO R Q , et al. Jointing time-frequency distribution and compressed sensing for countering smeared spectrum jamming[J]. Journal of Electronics & Information Technology, 2016, 38 (12): 3275- 3281.
9	杨少奇, 田波, 周瑞钊. 应用双谱分析和分形维数的雷达欺骗干扰识别[J]. 西安交通大学学报, 2016, 50 (12): 128- 135.
	YANG S Q , TIAN B , ZHOU R Z . A jamming identification method against radar deception based on Bispectrum analysis and fractal dimension[J]. Journal of Xi'an Jiao tong University, 2016, 50 (12): 128- 135.
10	杨兴宇, 阮怀林. 基于Zernike矩和双谱特征的新型干扰识别算法[J]. 空军工程大学学报(自然科学版), 2018, 19 (2): 56- 61.
	YANG X Y , RUAN H L . Jamming identification algorithms of advanced jamming based on Bispectrum feature and Zernike moment[J]. Journal of Air Force Engineering University (Natural Science Edition), 2018, 19 (2): 56- 61.
11	周畅, 王慧娟, 朱振波, 等. 基于雷达波形设计的抗C&I干扰方法[J]. 华中科技大学学报(自然科学版), 2019, 47 (1): 98- 101.
	ZHOU C , WANG H J , ZHU Z B , et al. Anti C&I interference method based on radar waveform design[J]. Journal of Huazhong University of Science & Technology (Natural Science Edition), 2019, 47 (1): 98- 101.
12	FENG D J , XU L T , PAN X Y , et al. Jamming wideband radar using interrupted-sampling repeater[J]. IEEE Trans.on Aerospace and Electronic Systems, 2017, 53 (3): 1341- 1354.
13	MARKA. 雷达信号处理基础[M]. 第2版北京: 电子工业出版社, 2017: 139- 140.
	MARK A . Fundamentals of radar signal processing[M]. 2nd ed Beijing: Publishing House of Electronics Industry, 2017: 139- 140.
14	ADAMY D L . EW104:EW against a new generation of threats[M]. London: Artech House, 2015: 60- 64.
15	邹本振, 张萌, 王朝. 脉冲压缩雷达的信号包络及检测模型研究[J]. 中国电子科学研究院学报, 2019, 14 (1): 55- 60.
	ZOU B Z , ZHANG M , WANG C . Research on modeling of envelope detection of pulse-compression radar[J]. Journal of China Academy of Electronics and Information Technology, 2019, 14 (1): 55- 60.
16	HUBER P J . Robust statistics[M]. New York: John Wiley, 1981.
17	ELLISON S L . An outlier-resistant indicator of anomalies among inter-laboratory comparison data with associated uncertainty[J]. Metrologia, 2018, 56 (6): 840- 854.
18	YU G , WANG Z H , ZHAO P . Multisynchro squeezing transform[J]. IEEE Trans.on Industrial Electronics, 2019, 66 (10): 5441- 5455. doi: 10.1109/TIE.2018.2868296
19	DUONG H P , SYLVAIN M . High-order synchrosqueezing transform for multicomponent signals analysis with an application to gravitational-wave signal[J]. IEEE Trans.on Signal Processing, 2017, 65 (12): 3168- 3178.
20	HUANG W T , ZHANG K W . Approximations of Shannon mutual information for discrete variables with applications to neural population coding[J]. Entropy, 2019, 21 (3): 243.
21	FOGANTE M , TAGLIATI C , DE L M , et al. Correlation between apparent diffusion coefficient magnetic resonance imaging and tumor-infiltrating lymphocytes in breast cancer[J]. Radiologia Medical, 2019, 124 (7): 581- 587.
22	BERMUDEZEDO M , BARNAGHI P , MOESSNER K . Analysing real world data streams with spatio-temporal correlations:entropy vs pearson correlation[J]. Automation in Construction, 2018, 88, 87- 100.
23	HATEFFARD F , DOLATI P , HEIDARI A , et al. Assessing the performance of decision tree and neural models in mapping soil properties[J]. Journal of Mountain Science, 2019, 16 (8): 1833- 1847.
24	DENG L M , HU Y , CHEUNG J P Y , et al. A data-driven decision support system for scoliosis[J]. IEEE Access, 2017, 5, 7874- 7884.

类别	参数	参数值
雷达	载频/MHz	400
	脉宽/μs	40
	信号带宽/MHz	8
	采样频率/MHz	16
	脉冲重复频率/Hz	2 000
	相参积累个数	128
干扰机	类型	点目标
	径向距离/km	100
	多普勒频率/Hz	100
C&I干扰	脉宽/μs	40
	多普勒频率/Hz	300、400、600
	采样周期/μs	8、10、10
	个数/方位	3
	距离/km	10、35、60
	采样脉宽/μs	2、2.5、2
突防飞机1	类型	点目标
	回波信号幅度/V	1
	距离/km	45
	多普勒频率/Hz	500
突防飞机2	类型	点目标
	回波信号幅度/V	1
	距离/km	47
	多普勒频率/Hz	500

[1]	Liang ZHANG, Guohong WANG, Dianxing SUN, Yiwen YU, Xiangyu ZHANG. C&I jamming suppression algorithm based on echo preprocessing and coherent integration [J]. Systems Engineering and Electronics, 2021, 43(10): 2869-2875.
[2]	LU Gang，TANG Bin，LUO Shuang-cai. Adaptive cancellation of DRFM false targets for LFM radar [J]. Journal of Systems Engineering and Electronics, 2011, 33(8): 1760-1764.

Fast-slow time domain joint processing to suppress C&I jamming

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 19

References 24

Related Articles 2

Recommended Articles

Metrics

Comments