基于极大似然估计的非理想场景雷达信号分选算法

doi:10.12305/j.issn.1001-506X.2024.07.11

Abstract

Abstract:

The existing research has elaborated on the problem of deinterleaving of radar pulse signal under ideal conditions, but lacks the model representation under two non-ideal scenarios, spurious pulses and lost pulses. To solve this problem, a deinterleaving algorithm of radar signals in non-ideal scenarios based on maximum likelihood estimation is proposed, which characterizes spurious pulse and lost pulse phenomena by modifying the likelihood factor, so as to improve the deinterleaving accuracy in complex scenarios. When part of the radar prior information is known, the proposed algorithm model has better deinterleaving effect. Simulation experiment results show that, compared with the existing maximum likelihood model and the deep learning algorithm, the proposed algorithm has a significant improvement in the deinterleaving accuracy and has high application value.

Key words: deinteleaving of radar signal, pulse repetition interval, electronic reconnaissance, maximum likelihood estimataion

CLC Number:

TN911.7

Keyu CHEN, Jian YANG, Wei ZHANG, Guomin SUN, Huaizong SHAO. Maximum likelihood estimation based deinterleaving algorithm of radar signal in non-ideal scenarios[J]. Systems Engineering and Electronics, 2024, 46(7): 2276-2284.

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References 21

1	SHAPEROS.Introduction to modern EW systems, (de Martino, A.)[Book review][J].IEEE Aerospace and Electronic Systems Magazine,2019,34(8):62-63. doi: 10.1109/MAES.2019.2921175
2	姜宏志,赵闯,胡德秀,等.基于时差多参的单脉冲信号实时配对分选[J].电子学报,2021,49(3):566-572.
	JIANGH Z,ZHAOC,HUD X,et al.Real-time deinterleaving algorithm for single pulse signal based on TDOAs and multi-parameter information[J].Acta Electronica Sinica,2021,49(3):566-572.
3	李合生,韩宇,蔡英武,等.雷达信号分选关键技术研究综述[J].系统工程与电子技术,2005,27(12):2035-2040.
	LIH S,HANY,CAIY W,et al.Overview of the crucial technology research for radar signal sorting[J].Systems Engineering and Electronics,2005,27(12):2035-2040.
4	APFELDS,CHARLISHA.Recognition of unknown radar emitters with machine learning[J].IEEE Trans.on Aerospace and Electronic Systems,2021,57(6):4433-4447. doi: 10.1109/TAES.2021.3098125
5	石荣,吴聪.基于PRI信息的雷达脉冲信号分选技术研究综述[J].电讯技术,2020,60(1):112-120.
	SHIR,WUC.Review on technology research about radar pulse signal deinterleaving based on PRI information[J].Telecommunication Engineering,2020,60(1):112-120.
6	MARDIAH 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
7	MILOJEVICD J,POPOVICB 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
8	NISHIGUCHIK,KOBAYASHIM.Improved algorithm for estimating pulse repetition intervals[J].IEEE Trans.on Aerospace and Electronic Systems,2000,36(2):407-421. doi: 10.1109/7.845217
9	LIUY C,ZHANGQ Y.Improved method for deinterleaving radar signals and estimating PRI values[J].IET Radar, Sonar & Na-vigation,2018,12(5):506-514.
10	CHENGW H,ZHANGQ Y,DONGJ 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
11	YOUNGJ,HØST-MADSENA,NOSALE M.Deinterleaving of mixtures of renewal processes[J].IEEE Trans.on Signal Processing,2018,67(4):885-898.
12	ZHUM T,LIY J,WANGS F.Model-based time series clustering and interpulse modulation parameter estimation of multifunction radar pulse sequences[J].IEEE Trans.on Aerospace and Electronic Systems,2021,57(6):3673-3690. doi: 10.1109/TAES.2021.3082660
13	ZHUM T,WANGS F,LIY J.Model-based representation and deinterleaving of mixed radar pulse sequences with neural machine translation network[J].IEEE Trans.on Aerospace and Electronic Systems,2021,58(3):1733-1752.
14	AHMADIM,MOHAMEDPOURK.PRI modulation type recognition using level clustering and autocorrelation[J].American Journal of Signal Processing,2012,2(5):83-91.
15	YUANS,KANGS Q,SHANGW X,et al.Reconstruction of radar pulse repetition pattern via semantic coding of intercepted pulse trains[J].IEEE Trans.on Aerospace and Electronic Systems,2022,59(1):394-403.
16	隋金坪,刘振,刘丽,等.雷达辐射源信号分选研究进展[J].雷达学报,2022,11(3):418-433.
	SUIJ P,LIUZ,LIUL,et al.Progress in radar emitter signal deinterleaving[J].Journal of Radars,2022,11(3):418-433.
17	LIUZ M.Online pulse deinterleaving with finite automata[J].IEEE Trans.on Aerospace and Electronic Systems,2019,56(2):1139-1147.
18	LIX Q,LIUZ M,HUANGZ T.Deinterleaving of pulse streams with denoising autoencoders[J].IEEE Trans.on Aerospace and Electronic Systems,2020,56(6):4767-4778.
19	LIUZ M.Pulse deinterleaving for multifunction radars with hierarchical deep neural networks[J].IEEE Trans.on Aerospace and Electronic Systems,2021,57(6):3585-3599.
20	LIUZ M,YUP S.Classification, denoising, and deinterleaving of pulse streams with recurrent neural networks[J].IEEE Trans.on Aerospace and Electronic Systems,2019,55(4):1624-1639.
21	WANGH Y,ZHUM T,FANR Z,et al.Parametric model-based deinterleaving of radar signals with non-ideal observations via maximum likelihood solution[J].IET Radar, Sonar & Navigation,2022,16(8):1253-1268.

场景序号	调制类型	参数
1	抖动PRI	Θ=(31, 1²)
		Θ=(55, 1²)
		Θ=(67, 1²)
2	滑变PRI	Θ=(16, 1²)
		Θ=(22, 1²)
		Θ=(9, 1²)
3	参差PRI	B=(43, 34, 67, 56)
		B=(47, 61, 55)
		B=(23, 76, 59)
4	正弦PRI	Θ=(3, 0.02, 40, 0.5², 0)
		Θ=(4, 0.015, 35, 0.5², 0)
		Θ=(5, 0.01, 30, 0.5², 0)

场景	杂散脉冲率
场景	0	0.05	0.10	0.15	0.20	0.25	0.30	0.35	0.40	0.45	0.50
抖动PRI	0.300	0.363	0.374	0.308	0.311	0.276	0.303	0.256	0.303	0.290	0.289
正弦PRI	0.392	0.360	0.432	0.445	0.385	0.294	0.382	0.385	0.343	0.250	0.383
滑变PRI	0.362	0.359	0.346	0.297	0.238	0.275	0.212	0.236	0.080	-0.002	0.053
参差PRI	0.258	0.183	0.336	0.248	0.250	0.277	0.206	0.189	0.147	0.177	0.183

指标	对比算法	抖动PRI	正弦PRI	滑变PRI	参差PRI
召回率	SPML	0.928	0.970	0.957	0.944
召回率	DAE	0.640	0.725	0.803	0.920
精度	SPML	0.915	0.967	0.899	0.950
精度	DAE	0.320	0.528	0.490	0.381

[1]	Jinwei JIA, Zhuangzhi HAN, Limin LIU, Hui XIE. Design principle of radar radio frequency stealth signal based on SDIF threshold failure [J]. Systems Engineering and Electronics, 2023, 45(6): 1693-1701.
[2]	Zhixing LIU, Yinghui QUAN, Guoyao XIAO, Mengdao XING. Signal design method for integrated radar and communication based on PRI agility [J]. Systems Engineering and Electronics, 2021, 43(10): 2836-2842.
[3]	ZHANG Yixiao, GUO Wenpu, KANG kai, YAO Yunlong, ZHANG Linke, ZHANG Wei. Radar signal sorting method based on data field combined PRI transform and clustering [J]. Systems Engineering and Electronics, 2019, 41(7): 1509-1515.
[4]	LIU Yong, YAO Libo, XIU Jianjuan, XIONG Wei, ZHOU Zhimin. Ship target tracking with satellite electronic information based on improved MHT [J]. Systems Engineering and Electronics, 2017, 39(6): 1189-1196.
[5]	CHEN Tao, WANG Tianghang, GUO Limin. Sequence searching methods of radar signal pulses based on PRI transform algorithm [J]. Systems Engineering and Electronics, 2017, 39(6): 1261-1267.
[6]	PENG Li， HUANG Wei. Approach for multi-objective optimal scheduling of electronic reconnaissance satellites based on stochastic simulation [J]. Journal of Systems Engineering and Electronics, 2013, 35(3): 545-551.
[7]	QIU Di-shan, HUANG Wei, HUANG Xiao-jun, MA Man-hao. Task merging and detecting with hybrid scheduling for electronic reconnaissance satellites [J]. Journal of Systems Engineering and Electronics, 2011, 33(9): 2012-2018.
[8]	WANG Hui-lin, HUANG Xiao-jun, MA Man-hao, QIU Di-shan. Mission scheduling technique for electronic reconnaissance satellites [J]. Journal of Systems Engineering and Electronics, 2010, 32(8): 1695-1699.

Maximum likelihood estimation based deinterleaving algorithm of radar signal in non-ideal scenarios

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