Search for dissertations about: "radar signal processing"

Showing result 1 - 5 of 80 swedish dissertations containing the words radar signal processing.

  2. 1. The ubiquitous signal processing : Applications to communications, spectral analysis and array processing

    Author : Erik G. Larsson; Björn Ottersten; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; digital signal processing; array processing; spectral analysis; incomplete data; wireless communications; space-time coding; synthetic aperture radar imaging; signal separation; estimation; detection; Signal processing; Signalbehandling; Signal Processing; Signalbehandling;

    Abstract : This dissertation is concerned with statistical signal processing and its applications. The thesis consists of three parts: I) applications to wireless communications, II) applications to spectral analysis and III) applications to array processing. READ MORE

  4. 2. Estimation Problems in Array Signal Processing, System Identification, and Radar Imagery

    Author : Richard Abrahamsson; Peter Stoica; A. Lee Swindlehurst; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Parameter Estimation; Array Signal Processing; STAP; SAR; Ground Penetrating Radar; System Identification; Bilinear Models; Covariance Matrix Estimation; Signal processing; Signalbehandling; Signalbehandling; Signal Processing;

    Abstract : This thesis is concerned with parameter estimation, signal processing, and applications. In the first part, imaging using radar is considered. More specifically, two methods are presented for estimation and removal of ground-surface reflections in ground penetrating radar which otherwise hinder reliable detection of shallowly buried landmines. READ MORE

  5. 3. Signal Processing for Radar with Array Antennas and for Radar with Micro-Doppler Measurements

    Author : Svante Björklund; Mats Pettersson; Ingvar Claesson; Ulrich Nickel; Blekinge Tekniska Högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; radar; signal processing; array antenna; subarray; clutter; jamming; interference; direction of arrival estimation; security; micro-Doppler; feature extraction; classification;

    Abstract : Radar (RAdio Detection And Ranging) uses radio waves to detect the presence of a target and measure its position and other properties. This sensor has found many civilian and military applications due to advantages such as possible large surveillance areas and operation day and night and in all weather. READ MORE

  6. 4. Signal Processing Approaches for Interference Mitigation in Automotive Radar Systems

    Author : Muhammad Rameez; Mats Pettersson; Mattias Dahl; Saleh Javadi; Igal Bilik; Blekinge Tekniska Högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; automotive radar; autoregressive modeling; digital beamforming; interference mitigation; machine learning; mutual interference; pulse compression; radar signal processing; signal reconstruction; Systemteknik; Systems Engineering;

    Abstract : Modern vehicles have several autonomous and semi-autonomous features, such as adaptive cruise control, lane keeping, adaptive headlights, and automatic emergency braking, ensuring a safe and comfortable driving experience. The vehicles typically rely on different sensors to "see" their surroundings and make decisions accordingly. READ MORE

  7. 5. Radar Signal Processing using Artificial Neural Networks

    Author : Alexander Karlsson; Magnus Jansson; Mikael Hämäläinen; Henrik Holter; Maria Sabrina Greco; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; artificial neural networks; classification; deep learning; detection; parameter estimation; radar; artificiella neuronnät; klassificering; djupinlärning; detektion; parameter estimering; radar; Electrical Engineering; Elektro- och systemteknik;

    Abstract : This thesis combines radar signal processing, with data driven artificial neuralnetwork (ANN) methods. Signal processing algorithms are often based on modelingassumptions of how the data was formed. In some cases, such models are sufficientfor designing good, or even optimal, solutions. READ MORE