Essays about: "Deinterleaving"

Found 4 essays containing the word Deinterleaving.

  1. 1. Offline Direction Clustering of Overlapping Radar Pulses from Homogeneous Emitters

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sofia Bedoire; [2022]
    Keywords : Clustering; DBSCAN; Deinterleaving; Machine Learning; Radar; Klustring; DBSCAN; Pulssortering; Maskininlärning; Radar;

    Abstract : Within the defence industry, it is essential to be aware of threats in the environment. A potential threat can be detected by identifying certain types of emitters in the surroundings that are typically used in the enemies’ systems. READ MORE

  3. 2. Out-of-distribution Recognition and Classification of Time-Series Pulsed Radar Signals

    University essay from KTH/Matematisk statistik

    Author : Paul Hedvall; [2022]
    Keywords : Out-of-Distribution; Gaussian Mixture Models; Dirichlet Process Mixture Models; Deinterleaving; Radar classification; Time-series analysis; Pulsed radar signals; Out-of-Distribution; Gaussian Mixture Models; Dirichlet Process Mixture Models; Deinterleaving; Radar classification; Time-series analysis; Pulsed radar signals;

    Abstract : This thesis investigates out-of-distribution recognition for time-series data of pulsedradar signals. The classifier is a naive Bayesian classifier based on Gaussian mixturemodels and Dirichlet process mixture models. READ MORE

  4. 3. Deinterleaving of radar pulses with batch processing to utilize parallelism

    University essay from KTH/Kommunikationssystem, CoS

    Author : Emma Lind; Mattias Stahre; [2020]
    Keywords : Cluster analysis; DBSCAN; Parallelization; Signal Separation; Unsupervised learning; Klusteranalys; DBSCAN; Parallellisering; Signal Separation; Oövervakat lärande;

    Abstract : The threat level (specifically in this thesis, for aircraft) in an environment can be determined by analyzing radar signals. This task is critical and has to be solved fast and with high accuracy. The received electromagnetic pulses have to be identified in order to classify a radar emitter. READ MORE

  5. 4. Deinterleaving pulse trains with DBSCAN and FART

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Shad Mahmod; [2019]
    Keywords : DBSCAN; FART; Fuzzy; Adaptive; Resonance; Theory; Radar; Clustering; Deinterleaving; Machine Learning;

    Abstract : Studying radar pulses and looking for certain patterns is critical in order to assess the threat level of the environment around an antenna. In order to study the electromagnetic pulses emitted from a certain radar, one must first register and identify these pulses. READ MORE