TY - GEN
T1 - A Robust Method of Emitter Signal Deinterleaving Approach Based on Point Cloud Detection
AU - Liu, Yifei
AU - Tao, Mingliang
AU - Tang, Shuting
AU - Xie, Jian
AU - Wang, Ling
N1 - Publisher Copyright:
© 2023 International Union of Radio Science.
PY - 2023
Y1 - 2023
N2 - Radar signal deinterleaving is a critical prerequisite process for electromagnetic situational awareness. Traditional deinterleaving approaches fail to deal with the emitter with advanced complex pulse repetition interval (PRI). In this paper, a robust deinterleaving method based on point cloud detection is proposed to estimate PRI and extract pulse sequences under complex PRI modulations. It converts pulse sequences to 2-D scatter plots which present straight lines on some specific planes by plane transformation technique. Then utilize the point cloud detection method of Random Sample Consensus (RANSAC) to extract the points on these lines corresponding to specific emitters. It can enhance the semantic features of the pulse train and reduce the sensitivity to algorithm parameters and modulation type. Experimental results demonstrate the effectiveness of the proposed method.
AB - Radar signal deinterleaving is a critical prerequisite process for electromagnetic situational awareness. Traditional deinterleaving approaches fail to deal with the emitter with advanced complex pulse repetition interval (PRI). In this paper, a robust deinterleaving method based on point cloud detection is proposed to estimate PRI and extract pulse sequences under complex PRI modulations. It converts pulse sequences to 2-D scatter plots which present straight lines on some specific planes by plane transformation technique. Then utilize the point cloud detection method of Random Sample Consensus (RANSAC) to extract the points on these lines corresponding to specific emitters. It can enhance the semantic features of the pulse train and reduce the sensitivity to algorithm parameters and modulation type. Experimental results demonstrate the effectiveness of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=85175199140&partnerID=8YFLogxK
U2 - 10.23919/URSIGASS57860.2023.10265550
DO - 10.23919/URSIGASS57860.2023.10265550
M3 - 会议稿件
AN - SCOPUS:85175199140
T3 - 2023 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023
BT - 2023 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023
Y2 - 19 August 2023 through 26 August 2023
ER -