Essays about: "radar signal classification"

Showing result 1 - 5 of 16 essays containing the words radar signal classification.

  1. 1. Classification of Radar Emitters using Semi-Supervised Contrastive Learning

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

    Author : Tim Jonsson; [2023]
    Keywords : ;

    Abstract : Radar is a commonly used radio equipment in military and civilian settings for discovering and locating foreign objects. In a military context, pilots being discovered by radar could have fatal consequences. READ MORE

  3. 2. Multidimensional Classification of Radar Signals : A comparison between unidimensional and multidimensional classification models for pulsed radar signals

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Max Ek Törmä; [2023]
    Keywords : pulsed radar classification; Bayesian Gaussian mixture models; Dirichlet process mixture models; multidimensional radar classification; pulsed radar signals; radar signal classification;

    Abstract : Radar is a technique used by many different types of remote sensing systems to keep track of their surroundings. The transmitted radar signals may carry information that could be used to infer the type of transmitter. Multiple papers have investigated the classification of pulse repetition intervals produced by radar systems. READ MORE

  4. 3. Evaluation of algorithms for accurate micro-doppler effects measurement in FMCW radar

    University essay from Linköpings universitet/Fysik, elektroteknik och matematik; Linköpings universitet/Tekniska fakulteten

    Author : Morgan Agerstig Rosenqvist; [2023]
    Keywords : Radar; FMCW; micro-Doppler; RPM;

    Abstract : Micro-Doppler effects are phenomena that occur because of micro-motion. A micro-motion is either a vibration, rotation, or acceleration which is small relative to the motion of the target. These effects can be used in order to characterize a target through their signature movement. READ MORE

  5. 4. Dataset Drift in Radar Warning Receivers : Out-of-Distribution Detection for Radar Emitter Classification using an RNN-based Deep Ensemble

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Kevin Coleman; [2023]
    Keywords : Radar Emitter Classification; Pulse Descriptor Word; Out of Distribution Detection; Dataset Drift; Uncertainty Estimation; Deep Ensembles; Recurrent Neural Networks; LSTM;

    Abstract : Changes to the signal environment of a radar warning receiver (RWR) over time through dataset drift can negatively affect a machine learning (ML) model, deployed for radar emitter classification (REC). The training data comes from a simulator at Saab AB, in the form of pulsed radar in a time-series. READ MORE

  6. 5. Parameter Estimation of LPI Radar in Noisy Environments using Convolutional Neural Networks

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

    Author : Filip Appelgren; [2021]
    Keywords : Deep Learning; LPI; Radar; CNN; Parameter estimation; Djupinlärning; LPI; Radar; Faltningsnätverk; Parameterestimering;

    Abstract : Low-probability-of-intercept (LPI) radars are notoriously difficult for electronic support receivers to detect and identify due to their changing radar parameters and low power. Previous work has been done to create autonomous methods that can estimate the parameters of some LPI radar signals, utilizing methods outside of Deep Learning. READ MORE