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Zhu, Simin (author)Performing joint tracking and classification is the ultimate goal for many radar-based applications. For example, in indoor monitoring scenario, it is important to know the target's position as well as the related activities performed by that target. However, the literature often treats the joint problem independently due to its complexity. As a...master thesis 2021
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Yang, Ximei (author)Nowadays, radar has been applied to human activity classification in the aging-in-place for health monitoring. The complex-valued neural networks (CVNNs) have been only minimally explored, especially on complex-valued radar signals, and there is an outstanding question on whether CVNNs can contribute to improving classification performance. This...master thesis 2021
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Ganther, Tobias (author)Landmines and Improvised Explosive Devices (IEDs) are among the most dangerous weapons found in (former) conflict areas. Many of them have only minimal or even no metal built in making it difficult to detect such devices via conventional metal detectors. Thus, alternative methods such as Ground Penetrating Radar (GPR) are deployed for this...master thesis 2021
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Nerkar, Saurabh (author)THz time-domain systems driven by photoconductive antennas (PCAs) promise a bandwidth of the order of hundreds of GHz. This characteristic can be utilized to build see-through radars with sub-mm resolution and a field of view comparable to the current mm-wave radars at a relatively low cost. These radars can solve the issues in the field of...master thesis 2021
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- HAN, YICHUANG (author) master thesis 2021
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Arriëns, Roy (author)A big catalyst of the AI revolution has been Artificial Neural Networks (ANN), abstract computation models based on the biological neural networks in the brain. However, they require an immense amount of computational resources and power to configure and when deployed often are dependent on cloud resources to function. This makes ANNs less...master thesis 2021
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Visvanathan Sethuraman, Harinee (author)Unmanned Aerial Vehicles (UAVs), commonly referred to as drones have gained increasing popularity with current technological breakthroughs. Recent reports indicate the number of registered drones in the United States have crossed 850,000 and is expected to increase multi-fold over the coming years. The widespread applications of drones include...master thesis 2021
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Kazi, Ruman Abdul Majid (author)The development of Smart Vehicles (SV) has increased the demand for secure and intelligent sensors. The automotive radar plays a massive role in improving the security of these vehicles. Radar needs to make fast and accurate detection in a noisy environment while being aware of its surroundings. The modern radar systems deployed on the SVs...master thesis 2021
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Ravish Suvarna, Anusha (author)In today's automotive applications, radar is widely used to estimate the target position and velocity with respect to the radar position. Estimating the position of the target in terms of range and velocity is fairly advanced and accurate. However, resolving two closely spaced targets in the azimuth domain which have the same range and relative...master thesis 2021
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Holsten, Henry (author)In the arctic region many coastal areas exhibit rapid erosion, with coastal retreat or erosion rates of 10 meters per year (m/yr.) or higher in places. This poses a threat primarily to all manner of infrastructure built directly on and near the coastline. With climate change the coastal erosion is expected to increase. This effect is expected to...master thesis 2021
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Jayachandra, Karan (author)Due to the rising number of wireless device users, it is expected that there will be a scarcity in the spectrum. The will especially true for the Automotive Spectrum between 77 and 81 GHz. In this thesis, we apply Sensor Management to the Joint Radar Communication scenario. We develop an algorithm that can allocate resources to both sensing and...master thesis 2021
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van der Kooij, Eva (author)Accurate short-term forecasts, also known as nowcasts, of heavy precipitation are desirable for creating early warning systems for extreme weather and its consequences, e.g. urban flooding. In this research, we explore the use of machine learning for short-term prediction of heavy summer rainfall showers in the Netherlands. We explore the use of...master thesis 2021
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Gîrdianu, Alex (author)There is an increasing demand for a highly accurate weather system on the runway for early detection and warning of severe weather phenomena. Due to the high performances of a phased array radar system in terms of time-resolution and elevation-resolution, an already existing fast-rotating phased array radar, 60 RPM, is studied to find the...master thesis 2021
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Heller, Martijn (author)The accurate estimation of the pose, i.e. position and heading, of a vehicle while driving is of high importance in autonomous driving applications. Right now the main tool to estimate the location of a vehicle is its GPS sensor. However, GPS data is known to be of very low accuracy, especially in urban environments, and is thus not ideal for...master thesis 2021
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de Boer, Thies (author)With modern multi-function radars becoming more flexible, handling the limited amount of resources of these radars becomes increasingly important. In this thesis the radar resource management (RRM) problem in a multi-target tracking scenario is considered. Partially observable Markov decision processes (POMDPs) are used to describe each tracking...master thesis 2021
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Yiğit, Erkut (author)In order to ensure safety and prevent collisions on road, automotive radars must be fault proof and have to be tested on reliability and performance, which requires proper diagnostic of well-functioning of the radar so that the car may participate to traffic. One way of the diagnostic of well-functioning of the automotive radar is by means of...master thesis 2021
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van der Werk, Bas (author)The Radar Resource Management (RRM) problem in a multi-sensor multi-target scenario is considered. The problem is defined as a constrained optimization problem in which the predicted error covariance is minimized subject to resource budget constraints. By applying Lagrangian Relaxation (LR) the problem is decoupled into multiple sub-optimization...master thesis 2021
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Hoorneman, Jochem (author)The topic of automated driving is receiving increasing attention from the scientific community and automotive industry. A key task for an autonomous vehicle is the recognition of drivable area and, in an extension of this, detecting the road boundaries. State-of-the-art techniques often use camera and/or LIDAR sensors to perform this task....master thesis 2021
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Bout, Jelle (author)The increasing number of drones forms a more significant problem every year. Negative impact becomes more apparent during daily life as, for example, airport operations are shut down due to unauthorized users of drones. This report focuses on designing a new wideband antenna array as part of an integrated radar system to detect small objects,...master thesis 2021
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Bristogiannis, Yperion (author)The offshore industry can increase safety and efficiency during offshore operation by predicting actual wave induced ship-motions minutes ahead of time. By only using on-board equipment, such as the navigational radar, it is possible to deterministically predict incoming waves since the phase resolved<br/>description of the waves can be acquired...master thesis 2021