基于聚类和时序相关的重点雷达信号快速识别

doi:10.3969/j.issn.1001-506X.2020.03.013

Abstract

Abstract:

Aiming at the pertinence and ineffectiveness of the traditional radar signal recognition method in identifying key targets, a real-time radar signal recognition method based on clustering and time-series correlation is proposed. Firstly, pulse description words of detected signals are sorted based on density-based spatial clustering of the application with noise (DBSCAN) algorithm. Then, the timing characteristics of the sorting pulse and the pulse repetition interval (PRI) parameters of the key target signal are used to generate the simulation signal. Finally, the cross-correlation function of the simulated signal is calculated, and the PRI parameter is judged to be matched based on the degree of correlation. Simulation results show that the proposed method significantly improves the identification time of key target signals, can deal with the complex signal environment with noise interference and overlapping signals, and is not sensitive to the loss of local pulse parameters.

Key words: radar signal recognition, density-based spatial clustering of application with noise (DBSCAN) algorithm, pulse description words, time-series correlation

CLC Number:

Yixiao ZHANG, Wenpu GUO, Kai KANG, Yunlong YAO, Pan WANG. Key radar signal fast recognition method based on clustering and time-series correlation[J]. Systems Engineering and Electronics, 2020, 42(3): 597-602.

Figures/Tables 10

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References 25

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序号	1	2	3	4	5	6	干扰
DOA/(°)	36~39	25~30	40~43	43~44	42~45	63~65
RF/MHz	6 450~6 650捷变	6 600固定	6 200~6 500捷变	6 400、6 500、6 450、6 300跳变	6 600~6 800捷变	6 600固定
PW/μs	5.10~11.40	9.65	14.5	15.0~20.0	10.5~15.5	9.65
PRI/μs	800×5/830×5/900×5/780×5/820×5/930×5脉组参差	400//440抖动	670固定	1 500固定	1 200//1 250滑变,增量为10	400//440抖动
脉冲数	600	400	500	500	200	300	500

序号	雷达1	雷达2	雷达3	雷达4	雷达5
RF/MHz	6 450~6 650捷变	6 600固定	6 200~6 500捷变	6 600~6 800捷变	5 600固定
PW/μs	5.10~11.40	9.65	14.5	10.5~15.5	12
PRI/μs	800×5/830×5/900×5/780×5/820×5/930×5脉组参差	400//440抖动	670固定	1 200//1 250滑变,增量为10	1 850//1 900抖动

序号	F₀, P_W0	ΔFΔ, P_W	PRI序列	仿真脉冲数
雷达1	6 550, 8.25	300, 8	800×5, 830×5, 900×5, 780×5, 820×5, 930×5	30
雷达2	6 600, 9.65	100, 2	400, 410, 420, 430, 440	40
雷达3	6 350, 14.5	250, 2	670	40
雷达4	6 700, 13	200, 4	1 200, 1 210, 1 230, 1 240, 1 250	30
雷达5	5 600, 12	100, 2	1 875	50

序号	雷达1	雷达2		雷达3	雷达4	雷达5
聚类数	611	401	301	503	206	0
正确聚类数	600	400	300	500	200	-
聚类后信噪比/dB	17.36	26.02	24.77	22.22	15.23	-

序号	对应序列时间	识别时间(相关度稳定时间)
雷达1	0~25 300	25 300
雷达2	100~16 900	16 900
雷达2	500~17 300	17 300
雷达3	200~27 000	27 000
雷达4	300~45 300	49 400

Key radar signal fast recognition method based on clustering and time-series correlation

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丢失脉冲数	100	200	300	400
识别成功时间/μs	30 960	31 790	35 250	62 350

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