Sökning: "radar warning receiver"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden radar warning receiver.

  1. 1. Detection and Analysis of Anomalies in Tactical Sensor Systems through Structured Hypothesis Testing

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Fredrik Ohlson; [2023]
    Nyckelord :Tactical sensor systems; Sensor fusion; Model based diagnostics; Hypothesis testing; Taktiska sensor system; Sensor fusion; Modellbaserad diagnostisering; Hypotesprövning;

    Sammanfattning : The project explores the domain of tactical sensor systems, focusing on SAAB Gripen’s sensor technologies such as radar, RWR (Radar Warning Receiver), and IRST (InfraRed Search and Track). The study employs structured hypothesis testing and model based diagnostics to examine the effectiveness of identifying and isolating deviations within these systems. LÄS MER

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

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

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

    Sammanfattning : 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. LÄS MER

  4. 3. Pulse Repetition Interval Generation using Deep Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Michaela Jangefalk; [2020]
    Nyckelord :;

    Sammanfattning : Radar is a central system in the field of electronic warfare used to estimate an object’s location, speed, and direction. A pulse radar emits pulses at predetermined time intervals. LÄS MER

  5. 4. Pulse Repetition Interval Modulation Classification using Machine Learning

    Uppsats för yrkesexamina på avancerad nivå, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Eric Norgren; [2019]
    Nyckelord :machine learning; radar; radar pulses; radar signals; pulseradar; pulse repetition interval; modulation; classification; LSTM; long short term memory; feature extraction; saab; ai; artifical intelligence; radar warning receiver; rwr; neural network; maskininlärning; radar; radarpulser; radar signaler; pulsradar; pulsrepetitionsintervall; modulationstyp; modulering; klassificering; LSTM; long short term memory; särdrag; saab; ai; artificiell intelligens; radarvarnare; rwr; neuralt nätverk;

    Sammanfattning : Radar signals are used for estimating location, speed and direction of an object. Some radars emit pulses, while others emit a continuous wave. Both types of radars emit signals according to some pattern; a pulse radar, for example, emits pulses with a specific time interval between pulses. LÄS MER

  7. 5. Fast filtering of mobile signals in radar warning receiver systems using machine learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jorge Andres Munoz Caceres; [2018]
    Nyckelord :machine learning; radar warning receiver; deep learning;

    Sammanfattning : The radio frequency spectrum is becoming increasingly crowded and research efforts are being made both from the side of communication and from radar to allow for sharing of the radio frequency spectrum. In this thesis, suitable methods for classifying incoming signals as either communication signals or radar signals using machine learning are evaluated, with the purpose of filtering communication signals in radar warning receiver systems. LÄS MER