Article: A PRI estimation and signal deinterleaving method based on density-based clustering Journal: International Journal of Information and Communication Technology (IJICT) 2024 Vol.24 No.1 pp.72 - 85 Abstract: In the existing statistics-based PRI estimation method, it is difficult to improve the PRI estimation accuracy due to the contradiction between the width of the statistical interval and the PRI extraction accuracy. In order to improve the accuracy of PRI estimation, a radar signal PRI estimation and deinterleaving method based on the density-based clustering is proposed in this paper. The dense area of the time of arrival (TOA) difference sequence near the true PRI value is extracted out by density-based clustering. The intra-class mean value is taken as the PRI estimation value and the intra-class point dispersion interval length as the PRI jitter amplitude. Combined with the sequence searching method with dynamic tolerance, the pulse sequence with a large number of pulses and small PRI jitter is preferentially extracted, which can improve the accuracy of signal deinterleaving. The simulation results show that the proposed method can significantly improve the accuracy of PRI estimation and the success rate of signal deinterleaving in the case of PRI jitter and false pulse interference. Inderscience Publishers - linking academia, business and industry through research

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Title: A PRI estimation and signal deinterleaving method based on density-based clustering

Authors: Lei Wang; Zhiyong Zhang; Tianyu Li; Tianhe Zhang

Addresses: Naval Aeronautical University, No. 188 Erma Road, Zhifu District, Yantai, Shandong Province, China ' Naval Aeronautical University, No. 188 Erma Road, Zhifu District, Yantai, Shandong Province, China ' Naval Aeronautical University, No. 188 Erma Road, Zhifu District, Yantai, Shandong Province, China ' Chinese People's Liberation Army, Unit 91827, No. 23 Dongshan Road, Huancui District, Weihai, Shandong Province, China

Abstract: In the existing statistics-based PRI estimation method, it is difficult to improve the PRI estimation accuracy due to the contradiction between the width of the statistical interval and the PRI extraction accuracy. In order to improve the accuracy of PRI estimation, a radar signal PRI estimation and deinterleaving method based on the density-based clustering is proposed in this paper. The dense area of the time of arrival (TOA) difference sequence near the true PRI value is extracted out by density-based clustering. The intra-class mean value is taken as the PRI estimation value and the intra-class point dispersion interval length as the PRI jitter amplitude. Combined with the sequence searching method with dynamic tolerance, the pulse sequence with a large number of pulses and small PRI jitter is preferentially extracted, which can improve the accuracy of signal deinterleaving. The simulation results show that the proposed method can significantly improve the accuracy of PRI estimation and the success rate of signal deinterleaving in the case of PRI jitter and false pulse interference.

Keywords: radar emitters; radar signals; pulse repetition interval; PRI; PRI estimation; signal deinterleaving; density-based clustering; DBSCAN; time of arrival; TOA; PRI jitter.

DOI: 10.1504/IJICT.2024.135307

International Journal of Information and Communication Technology, 2024 Vol.24 No.1, pp.72 - 85

Received: 02 Sep 2021
Accepted: 04 Dec 2021
Published online: 05 Dec 2023 *

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Title: A PRI estimation and signal deinterleaving method based on density-based clustering

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