Deinterleaving pulse trains in unconventional circumstances using multiple hypothesis tracking algorithm

DOI10.1016/J.SIGPRO.2010.03.004zbMath1194.94111OpenAlexW2041511690MaRDI QIDQ985625

Jingyao Liu, Xiqin Wang, Huadong Meng, Yi-min Liu

Publication date: 6 August 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2010.03.004

zbMATH Keywords

multiple target trackingmultiple hypothesis trackpulse deinterleavingstatistical association

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

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• Automatic identification of digital modulation types
• CFAR adaptive threshold for ESM receiver with logarithmic amplification
• Automatic digital modulation recognition using artificial neural network and genetic algorithm
• A comparison of self-organizing neural networks for fast clustering of radar pulses
• A dynamical systems analysis of semidefinite programming with application to quadratic optimization with pure quadratic equality constraints
• Knowledge extraction using artificial neural networks: application to radar target identification

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