A Multi-Receiver Pulse Deinterleaving Method Based on SSC-DBSCAN and TDOA Mapping

Deinterleaving pulses of various pulse repetition interval (PRI) modulation modes constitute a vital and challenging task for an electronic measures system (ESM). A deinterleaving method based on multi-receiver time-difference-of-arrival (TDOA) is proposed in this paper. Firstly, this paper theoretically analyzes the distribution feature of TDOA, providing the basis of deinterleaving. Then, a SSC (Sorting Skipping Clustering)-DBSCAN algorithm is proposed to achieve TDOA clustering by pre-sorting and traversing key points, which reduces the computational complexity. The TDOA mapping algorithm is further proposed to separate pulses and eliminate Cross-Pulse TDOAs simultaneously based on a one-time clustering result, which can significantly decrease the false alarm rate while avoiding clustering TDOA repeatedly. Simulation results show that the proposed method is capable of deinterleaving pulses of various PRI modulation modes and the performance remains excellent under multiple parameter settings. The running time and the false alarm rate have been reduced by at least 66% and 17%, respectively, compared with the existing methods.

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Publication Details

Journal
Electronics
Published
2025-04-29
DOI
https://doi.org/10.3390/electronics14091833
Citations
1
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
1.49

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article

A Multi-Receiver Pulse Deinterleaving Method Based on SSC-DBSCAN and TDOA Mapping

Yongcai Liu, Binbin Su, Jin Meng, Jie Xue
1 citations
Electronics
Speech and Audio Processing
1.49
article

A Multi-Receiver Pulse Deinterleaving Method Based on SSC-DBSCAN and TDOA Mapping

Yongcai Liu, Binbin Su, Jin Meng, Jie Xue
article en
1 citations

Abstract

Deinterleaving pulses of various pulse repetition interval (PRI) modulation modes constitute a vital and challenging task for an electronic measures system (ESM). A deinterleaving method based on multi-receiver time-difference-of-arrival (TDOA) is proposed in this paper. Firstly, this paper theoretically analyzes the distribution feature of TDOA, providing the basis of deinterleaving. Then, a SSC (Sorting Skipping Clustering)-DBSCAN algorithm is proposed to achieve TDOA clustering by pre-sorting and traversing key points, which reduces the computational complexity. The TDOA mapping algorithm is further proposed to separate pulses and eliminate Cross-Pulse TDOAs simultaneously based on a one-time clustering result, which can significantly decrease the false alarm rate while avoiding clustering TDOA repeatedly. Simulation results show that the proposed method is capable of deinterleaving pulses of various PRI modulation modes and the performance remains excellent under multiple parameter settings. The running time and the false alarm rate have been reduced by at least 66% and 17%, respectively, compared with the existing methods.

ElectronicsVol. 14(9)
Naval University of Engineering (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 20%
Speech and Audio Processing
1.49
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