Search for dissertations about: "radar signal processing"
Showing result 1 - 5 of 80 swedish dissertations containing the words radar signal processing.
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1. The ubiquitous signal processing : Applications to communications, spectral analysis and array processing
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
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2. Estimation Problems in Array Signal Processing, System Identification, and Radar Imagery
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
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3. Signal Processing for Radar with Array Antennas and for Radar with Micro-Doppler Measurements
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
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4. Signal Processing Approaches for Interference Mitigation in Automotive Radar Systems
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
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5. Radar Signal Processing using Artificial Neural Networks
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