PRI modulation recognition and sequence search under small sample prerequisite

doi:10.23919/JSEE.2023.000007

Journal of Systems Engineering and Electronics ›› 2023, Vol. 34 ›› Issue (3): 706-713.doi: 10.23919/JSEE.2023.000007

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles

PRI modulation recognition and sequence search under small sample prerequisite

Chunjie ZHANG¹^,²(), Yuchen LIU¹^,²^,*(), Weijian SI¹^,²()

¹ College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
² Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology, Harbin Engineering University, Harbin 150001, China

Received:2021-07-24 Online:2023-06-15 Published:2023-06-30
Contact: Yuchen LIU E-mail:zhangchunjie@hrbeu.edu.cn;liuyuchen11@hrbeu.edu.cn;swj0418@263.net
About author:
ZHANG Chunjie was born in 1975. She received her Ph.D. degree in communication and information system from Harbin Engineering University in 2006. Now she is an associate professor in the School of Information and Communication Engineering at Harbin Engineering University. Her main research interests include broadband signal detection, processing, and identification. E-mail: zhangchunjie@hrbeu.edu.cn

LIU Yuchen was born in 1997. He received his B.S. degree from Harbin Engineering University in 2019. Now he is pursuing his M.S. degree in Harbin Engineering University. His main research interests include radar signal processing and radar pulses deinterleaving. E-mail: liuyuchen11@hrbeu.edu.cn

SI Weijian was born in 1971. He received his B.S. degree in electronic engineering from Beihang University in 1994, M.S. and Ph.D. degrees in communication and information system from Harbin Engineering University in 2001 and 2004, respectively. From 1995 to 1999, he joined the 35th Institute of China Aerospace Science and Industry Corporation, where he engaged in scientific research on radar signal processing. He is currently a professor and a Ph.D. supervisor with the College of Information and Communication Engineering, Harbin Engineering University. His main research interests include radar signal detection, processing and identification, high precision passive direction finding, and spatial spectrum estimation. E-mail: swj0418@263.net
Supported by:
This work was supported by the National Natural Science Foundation of China (61801143;61971155), and the National Natural Science Foundation of Heilongjiang Province (LH2020F019).

Abstract

Abstract:

Pulse repetition interval (PRI) modulation recognition and pulse sequence search are significant for effective electronic support measures. In modern electromagnetic environments, different types of inter-pulse slide radars are highly confusing. There are few available training samples in practical situations, which leads to a low recognition accuracy and poor search effect of the pulse sequence. In this paper, an approach based on bi-directional long short-term memory (BiLSTM) networks and the temporal correlation algorithm for PRI modulation recognition and sequence search under the small sample prerequisite is proposed. The simulation results demonstrate that the proposed algorithm can recognize unilinear, bilinear, sawtooth, and sinusoidal PRI modulation types with 91.43% accuracy and complete the pulse sequence search with 30% missing pulses and 50% spurious pulses under the small sample prerequisite.

Key words: inter-pulse slide, pulse repetition interval (PRI) modulation type, bi-directional long short-term memory (BiLSTM) network, sequence search

Chunjie ZHANG, Yuchen LIU, Weijian SI. PRI modulation recognition and sequence search under small sample prerequisite[J]. Journal of Systems Engineering and Electronics, 2023, 34(3): 706-713.

Figures/Tables 7

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PRI modulation	Missing pulse/%	Actual pulses count	Original algorithm				Proposed algorithm
PRI modulation	Missing pulse/%	Actual pulses count	Search pulses count	Relevant pulses count	Precision/%	Recall/%	Search pulses count	Relevant pulses count	Precision/%	Recall/%
Unilinear	30.37	697	798	481	60.28	69.01	709	697	98.31	100
Bilinear	31.06	637	814	431	52.94	67.66	645	637	98.76	100
Sawtooth	30.80	692	816	484	59.31	69.94	708	692	97.74	100
Sinusoidal	30.68	592	750	387	51.60	65.37	611	589	96.40	99.49

PRI modulation recognition and sequence search under small sample prerequisite

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