一种针对驻留转换雷达的信号分选算法

doi:10.12305/j.issn.1001-506X.2024.06.10

Abstract

Abstract:

The signal deinterleaving of dwell and switch radar in complex electromagnetic environments is a bottleneck that limits the development of electronic reconnaissance technology. The signal sub-cycles are difficult to be detected due to their complex and variable forming laws. The pulse sequences cannot be successfully extracted due to the unknown pulse repetition period modulation type, and the false alarms caused by extracted multiple sub-cycle pulse sequences that cannot be combined into one single radar signal. To address the above problems, a signal deinterleaving algorithm is proposed for the dwell and switch radar. The proposed algorithm enhances the detection probability of signal sub-cycles with double-threshold method, and the Hough transform is combined with iterative self-organizing clustering to determine whether the signal belongs to the dwell and switch radar, improving the search algorithm to extract pulse sequences, and combining multiple pulse sequences into one dwell and switch radar signal based on the permutation entropy index. Simulation experiments show that the proposed algorithm can successfully deinterleave the three dwell and switch radar signals in a complex electromagnetic environment with a pulse loss rate of 25%.

Key words: dwell and switch, signal deinterleaving, Hough transform, pulse sequence search, permutation entropy

CLC Number:

TN971.1

Chunjie ZHANG, Song QING, Zhian DENG, Yuchen LIU. Signal deinterleaving algorithm for dwell and switch radar[J]. Systems Engineering and Electronics, 2024, 46(6): 1925-1934.

Figures/Tables 19

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References 32

1	CHEN C X , HE M H , XU J , et al. A new method for sorting unknown radar emitter signal[J]. Chinese Journal of Electronics, 2014, 23 (3): 499- 502.
2	JIA J W, LIU L M, HAN Z Z. Research on anti-sorting signal design technology based on precise combination of stagger signal PRI[C]//Proc. of the 4th International Conference on Power, Intelligent Computing and Systems, 2022.
3	NAN H , PENG S R , YU J A , et al. Pulse interference method against PRI sorting[J]. The Journal of Engineering, 2019, 2019 (19): 5732- 5735. doi: 10.1049/joe.2019.0398
4	AHMED M G S , TANG B . Sorting radar signal from symmetry clustering perspective[J]. Journal of Systems Engineering and Electronics, 2017, 28 (4): 690- 696. doi: 10.21629/JSEE.2017.04.08
5	JIANG W , FU X J , CHANG J Y . Improved deinterleaving algorithm of radar pulses based on dual fuzzy vigilance ART[J]. Journal of Systems Engineering and Electronics, 2020, 31 (2): 303- 311. doi: 10.23919/JSEE.2020.000008
6	LIU Y C , ZHANG Q Y . Improved method for deinterleaving radar signals and estimating PRI values[J]. IET Radar, Sonar & Navigation, 2018, 12 (5): 506- 514.
7	ZHANG C J , LIU Y C , SI W J . Synthetic algorithm for deinterleaving radar signals in a complex environment[J]. IET Radar, Sonar & Navigation, 2020, 14 (12): 1918- 1928.
8	MARDIA H K . New techniques for the deinterleaving of repetitive sequences[J]. IEE Proceedings F (Radar and Signal Processing), 1989, 136 (4): 149- 154. doi: 10.1049/ip-f-2.1989.0025
9	MILOJEVIC D J , POPOVIC B M . Improved algorithm for the deinterleaving of radar pulses[J]. IEE Proceedings F (Radar and Signal Processing), 1992, 139 (1): 98- 104. doi: 10.1049/ip-f-2.1992.0012
10	MAO Y, GUO G H, HAN J, et al. An improved algorithm of PRI transform[C]//Proc. of the Global Congress on Intelligent Systems, 2009: 145-149.
11	BAGHERI M , SEDAAGHI M H . A new approach to pulse deinterleaving based on adaptive thresholding[J]. Turkish Journal of Electrical Engineering & Computer Sciences, 2017, 25 (5): 3827- 3838.
12	ZHANG C J , LIU Y C , SI W J . Synthetic algorithm for deinterleaving radar signals in a complex environment[J]. IET Radar, Sonar & Navigation, 2020, 14 (12): 1918- 1928.
13	WANG C , SUN L T , LIU Z M , et al. A radar signal deinterleaving method based on semantic segmentation with neural network[J]. IEEE Trans.on Signal Processing, 2022, 70, 5806- 5821. doi: 10.1109/TSP.2022.3229630
14	LIU Y F, XIE J, TAO M L, et al. Stagger PRI radar signal deinterleaving based on image semantic segmentation[C]//Proc. of the 5th International Conference on Electronic Information and Communication Technology, 2022.
15	张春杰, 刘俞辰, 司伟建. 基于多级箱与深度森林的雷达信号分选算法[J]. 电子学报, 2022, 50 (6): 1351- 1358.
	ZHANG C J , LIU Y C , SI W J . The radar signal deinterlea-ving algorithm based on multi-level bin and deep forest[J]. Acta Electronica Sinica, 2022, 50 (6): 1351- 1358.
16	QU Q Z , WEI S J , WU Y , et al. ACSE networks and autocorrelation features for PRI modulation recognition[J]. IEEE Communications Letters, 2020, 24 (8): 1729- 1733. doi: 10.1109/LCOMM.2020.2992266
17	NGUYEN P, NGUYEN H Q. Classification of pulse repetition interval modulations using neural networks[C]//Proc. of the IEEE Symposium Series on Computational Intelligence, 2018.
18	AHMED U I, REHMAN T U, BAQAR S, et al. Robust pulse repetition interval (PRI) classification scheme under complex multi emitter scenario[C]//Proc. of the 22nd International Microwave and Radar Conference, 2018.
19	LI X Q , LIU Z M , HUANG Z T . Attention-based radar PRI modulation recognition with recurrent neural networks[J]. IEEE Access, 2020, 8, 57426- 57436. doi: 10.1109/ACCESS.2020.2982654
20	LIANG Y S, CHEN Y G, SHEN B Y. Heuristic approach for PRI modulation recognition based on symbolic radar pulse trains analysis[C]//Proc. of the Eurasia Conference on IOT, Communication and Engineering, 2022.
21	HAN J W , PARK C H . A unified method for deinterleaving and PRI modulation recognition of radar pulses based on deep neural networks[J]. IEEE Access, 2021, 9, 89360- 89375. doi: 10.1109/ACCESS.2021.3091309
22	陈涛, 王天航, 郭立民. 基于PRI变换的雷达脉冲序列搜索方法[J]. 系统工程与电子技术, 2017, 39 (6): 1261- 1267.
	CHEN T , WANG T H , GUO L M . Sequence searching methods of radar signal pulses based on PRI transform algorithm[J]. Systems Engineering and Electronics, 2017, 39 (6): 1261- 1267.
23	马爽, 王莹桂, 柳征, 等. 基于序列比对的多功能雷达搜索规律识别方法[J]. 电子学报, 2012, 40 (7): 1434- 1439.
	MA S , WANG Y G , LIU Z , et al. A method for search schema recognition of multifunction radars based on sequence alignment[J]. Acta Electronica Sinica, 2012, 40 (7): 1434- 1439.
24	CHENG W H , ZHANG Q Y , DONG J M , et al. An enhanced algorithm for deinterleaving mixed radar signals[J]. IEEE Trans.on Aerospace and Electronic Systems, 2021, 57 (6): 3927- 3940. doi: 10.1109/TAES.2021.3087832
25	DADGARNIA A , SADEGHI M T . A novel method of deinterleaving radar pulse sequences based on a modified DBSCAN algorithm[J]. China Communications, 2023, 20 (2): 198- 215. doi: 10.23919/JCC.2023.02.012
26	MA J T , YU J P , LIANG G , et al. Maneuvering target coherent integration and detection in PRI-staggered radar systems[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19, 3508205.
27	LONG X W , LI K , TIAN J , et al. Ambiguity function analysis of random frequency and PRI agile signals[J]. IEEE Trans.on Aerospace and Electronic Systems, 2021, 57 (1): 382- 396. doi: 10.1109/TAES.2020.3016851
28	NUHOGLU M A , ALP Y K , ULUSOY M E C , et al. Image segmentation for radar signal deinterleaving using deep learning[J]. IEEE Trans.on Aerospace and Electronic Systems, 2023, 59 (1): 541- 554. doi: 10.1109/TAES.2022.3188225
29	GUO J C , HE Q B , ZHEN D , et al. Intelligent fault detection for rotating machinery using cyclic morphological modulation spectrum and hierarchical teager permutation entropy[J]. IEEE Trans.on Industrial Informatics, 2023, 19 (4): 6196- 6207. doi: 10.1109/TII.2022.3185293
30	LIN M Y , XIE H N , SHAN M Y . A hybrid multiscale permutation entropy-based fault diagnosis and inconsistency evaluation approach for lithium battery of E-vehicles[J]. IEEE Access, 2022, 10, 104757- 104768. doi: 10.1109/ACCESS.2022.3211023
31	高浩瀚, 张利, 梁军, 等. 基于改进排列熵算法和Yamamoto算法的非侵入式用电设备状态变化检测[J]. 电力自动化设备, 2020, 40 (1): 192- 197.
	GAO H H , ZHANG L , LIANG J , et al. Non-intrusive electrical equipment state change detection based on improved permutation entropy algorithm and Yamamoto algorithm[J]. Electric Power Automation Equipment, 2020, 40 (1): 192- 197.
32	张展, 刘亚晨, 杜诗扬, 等. 基于CEEMD与排列熵相结合的谐波检测方法研究[J]. 电子测量技术, 2022, 45 (9): 92- 98.
	ZHANG Z , LIU Y C , DU S Y , et al. Harmonic detection method based on CEEMD and permutation entropy[J]. Electronic Measurement Technology, 2022, 45 (9): 92- 98.

雷达编号	实际丢失率/%	实际脉冲数	算法	提取脉冲数	真实脉冲数	准确率/%	召回率/%
1	20.39	1 351	改进算法	1 347	1 317	97.77	97.48
1	20.39	1 351	原始算法	1 433	1 072	74.81	79.35
2	21.37	1 111	改进算法	1 044	1 026	98.28	92.35
2	21.37	1 111	原始算法	959	729	76.02	65.62

雷达编号	实际丢失率/%	实际脉冲数	算法	提取脉冲数	真实脉冲数	准确率/%	召回率/%
1	23.92	1 301	改进算法	1 353	1 266	93.57	97.31
1	23.92	1 301	原始算法	1 179	582	49.36	44.73
2	23.79	1 083	改进算法	980	961	98.06	88.73
2	23.79	1 083	原始算法	654	420	64.22	38.78
3	27.32	1 357	改进算法	1 251	1 201	96.00	88.50
3	27.32	1 357	原始算法	1 229	754	61.35	55.56

[1]	Xuemin WANG, Xiangyu ZHANG, Minghui WU, Wenhai LI. Underwater target track-before-detect detection method based on cross location and Hough transform [J]. Systems Engineering and Electronics, 2023, 45(7): 1957-1964.
[2]	Longkang CHANG, Jianxiong WEI, Fei YU, Guochang ZHANG, Wei GAO, Qiang HAO. A hybrid denoising method for hemispherical resonant gyroscope based on LMD-WSVD [J]. Systems Engineering and Electronics, 2023, 45(2): 497-503.
[3]	Xuemin WANG, Fang WU, Xiangyu ZHANG, Yong HUANG, Wenhai LI. A passive detection method of small rudder angle swirling underwater targets [J]. Systems Engineering and Electronics, 2023, 45(12): 3754-3763.
[4]	Weiguo SHI, Ming GUO. Network delay prediction based on model of modified ensemble empirical mode decomposition-permutation entropy and cuckoo search-wavelet neural network [J]. Systems Engineering and Electronics, 2020, 42(1): 184-190.
[5]	GAO Xia, QUAN Yinghui, RUAN Feng, CHEN Xiada, LI Yachao, XING Mengdao. Dense repeated jamming suppression algorithm based on Hough transform [J]. Systems Engineering and Electronics, 2019, 41(12): 2730-2737.
[6]	LIU Mingqian, YAN Zhiwen, ZHANG Junlin. Specific emitter identification method for aerial target [J]. Systems Engineering and Electronics, 2019, 41(11): 2408-2415.
[7]	XIONG Wei, GU Xiangqi, XU Congan, LYU Yafei. Multi-formation track initiation method based on Gaussian mixture EM clustering [J]. Systems Engineering and Electronics, 2019, 41(11): 2424-2430.
[8]	XU Dan, FU Jixiang, SUN Guangcai, XING Mengdao, SU Tao. Accurate wide band high velocity motion compensation for ballistic targets [J]. Systems Engineering and Electronics, 2019, 41(10): 2205-2213.
[9]	JIN Yuanhua, YE Chunmao, CHEN Ying, LU Yaobing. Track initiation method based on wideband radar echo [J]. Systems Engineering and Electronics, 2019, 41(1): 66-72.
[10]	SHEN Haoming, LIAO Guisheng, YANG Zhiwei. Rotating interferomete based method for multiple objective parameter estimation [J]. Systems Engineering and Electronics, 2018, 40(8): 1669-1678.
[11]	SUN Yuxue, LUO Ying, ZHANG Qun, HU Jian. Time-varying three dimensional imaging for space rotating targets with stepped-frequency chirp signal [J]. Systems Engineering and Electronics, 2018, 40(1): 23-31.
[12]	WANG Hong-wei, FAN Xiang-yu, CHEN You, YANG Yuan-zhi. Recognition method of LFM signals based GSTH transform [J]. Systems Engineering and Electronics, 2016, 38(10): 2228-2234.
[13]	TANG Lin-bo, TAO Fen-fang, ZHAO Bao-jun, LIU Jia-jun. Real-time integer hough transform based on FPGA [J]. Journal of Systems Engineering and Electronics, 2012, 34(3): 610-613.
[14]	LIU Zhong-xun, WANG Tao, WANG Xue-song, LI Wen-chen. Radar detection method for weak linear distributed targets [J]. Journal of Systems Engineering and Electronics, 2010, 32(3): 499-503.
[15]	LIU Jin, LI Jin-liang, MA Liang, WANG Xue-song, WANG Guo-yu. Micro-motion feature extraction algorithm of millimeter seeker based on TFD-Hough transform [J]. Journal of Systems Engineering and Electronics, 2010, 32(3): 518-522.

Signal deinterleaving algorithm for dwell and switch radar

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