Essays about: "MODULATION CLASSIFICATION"

Showing result 1 - 5 of 11 essays containing the words MODULATION CLASSIFICATION.

1. 1. 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

3. 2. Uncertainty Estimation for Deep Learning-based LPI Radar Classification : A Comparative Study of Bayesian Neural Networks and Deep Ensembles

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

   Author : Måns Ekelund; [2021]
   Keywords : LPI radar; Uncertainty Quantification; Deep Learning; Bayesian Neural Networks; Deep Ensembles; LPI radar; Osäkerhetsskattning; Djupinlärning; Bayesianska neurala nätverk; Djupa ensembler;

   Abstract : Deep Neural Networks (DNNs) have shown promising results in classifying known Low-probability-of-intercept (LPI) radar signals in noisy environments. However, regular DNNs produce low-quality confidence and uncertainty estimates, making them unreliable, which inhibit deployment in real-world settings. READ MORE

4. 3. Automation of Pulse Repetition Interval Modulation Classification

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

   Author : Karolina Barrios; [2021]
   Keywords : ;

   Abstract : Radar systems are essential in the field of electronic warfare and radar signals are used for estimating speed, location and direction of an object. A radar system sends out small transmissions called pulses. The interval between the start of one pulse to the start of the next pulse is called pulse repetition interval (PRI). READ MORE

5. 4. Noise Robustness of Convolutional Autoencoders and Neural Networks for LPI Radar Classification

   University essay from KTH/Matematisk statistik

   Author : Gustav Norén; [2020]
   Keywords : LPI radar; CNN; autoencoder; noise robustness; denoising; LPI radar; CNN; autoencoder; brustålighet; avbrusning;

   Abstract : This study evaluates noise robustness of convolutional autoencoders and neural networks for classification of Low Probability of Intercept (LPI) radar modulation type. Specifically, a number of different neural network architectures are tested in four different synthetic noise environments. READ MORE

6. 5. Method for coupling modulatedscattered light from free flyinginsects to harmonics and theirrelative phases

   University essay from Lunds universitet/Förbränningsfysik; Lunds universitet/Fysiska institutionen; Lunds universitet/Matematisk statistik

   Author : Martin Patricks; Ludvig Anderberg; [2020]
   Keywords : frequency estimation; phase estimation; matched phase reassignment; entomologic lidar; modulation spectroscopy; scattered light; Technology and Engineering;

   Abstract : Using laser it is possible to measure the backscattered light from insects. The resulting signal can then be analysed in order to potentially determine the species of the insect. READ MORE