Classification of Human Activities with Distributed Radar Systems

This thesis introduces the relevance of radar systems in the realm of human activity recognition (HAR) in Chapter 1. The study touches upon the complex understanding of continuous human activities and the existing challenges and gaps in current methodologies, hinting at the innovative technical approaches that are to be detailed in the following...

Probabilistic Labeling in Radar Track-before-Detect Processing: Algorithms for tracking closely-spaced and/or interacting targets

Radar-tracking of low-observable targets such as drones suffers from low detection performance. In these type of applications, it is desirable to avoid data thresholding in order to preserve the weak target signal in the raw sensor data. This thesis considers the Multiple Object Tracking (MOT) problem in the context of radar Track-before-Detect ...

Phase-Coded FMCW for Automotive Radars

Autonomous driving is a new emerging technology that will enhance traffic safety. Automotive radars are essential to attaining autonomous driving since they can function in adverse weather conditions and are used for detection, tracking, and classification in traffic settings. However, the dramatic growth in the number of radar sensors used for...

Approximately Optimal Resource Management for Multi-Function Radar: Algorithmic Solutions Using a Generic Framework

Recent advances in Multi-Function Radar (MFR) systems led to an increase in their degrees of freedom. As a result, modern MFR systems are capable of adjusting many parameters during runtime. An automatic adaptation of the radar system to changing situations, like weather conditions, interference, or target maneuvers, is often mentioned in the...

Antenna Array Synthesis and Beamforming for 5G Applications: An Interdisciplinary Approach

Realization of the future 5G systems requires the design of novel mm-wave base station antenna systems that are capable of generating multiple beams with low mutual interference, while serving multiple users simultaneously using the same frequency band. Besides, small wavelengths and high packaging densities of front-ends lead to overheating of...

Joint Parameters Estimation using FMCW UWB Waveform

As one of the main sensor in autonomous driving, radar has great advantages over other sensors, especially its capabilities during adverse weather condition and Doppler information extraction. Performance of the radar in terms of accuracy and target resolution strongly depends on radar waveforms transmitted and signal processing algorithms...

Reconfigurable Range-Doppler Processing and Interference Mitigation for FMCW Radars

Migrating Target Detection in Wideband Radars

Modern surveillance radars are designed to detect moving targets of interest in an adverse environment, which can encompass strong unwanted reflections from ground or sea surface, clouds, precipitation, etc. Detection of weak and small moving targets in environmental clutter remains, however, a challenging task for the existing radar systems....

Radar remote sensing of wind vector and turbulence intensity fields from raindrop backscattering

Scanning radars are promising sensors for atmospheric remote sensing, giving potential to retrieve parameters that characterize the local air dynamics during rain. For the observation of air motion, radars are relying on the backscatter of particles, which can, for example, be raindrops or insects. To measure wind vectors and turbulence...

Spatio-Temporal Environment Monitoring Leveraging Sparsity

Reliable prediction and monitoring of dynamically changing environments are essential for a safer and healthier society. Sensor networks play a significant role in fulfilling this task. The two fundamental aspects of environmental sensor networks (ESNs) include the need for accuracy as well as low-complexity and energy efficient sensing...

Forward-Looking Ultra-Wideband Synthetic Array Imaging

The expansion of microwave imaging applications in various fields proposes increasingly higher requirements (including spatial resolution, dynamic range, and signal-to-noise ratio) for microwave imaging systems. To achieve high-quality imaging, microwave imaging systems generally exploit spatial-, frequency- and polarization-diversities to probe...

Qualitative and Quantitative Imaging in Electromagnetic Inverse Scattering Theory

The inverse scattering problem is inherently nonlinear and improperly posed. Relevant study, such as the existence and uniqueness of the solution, the completeness of the far field pattern, etc., involves an abstruse mathematical theory. In our daily life, the inversion techniques play a significant role in areas such as radar, sonar,...

Radar networks performance analysis and topology optimization

The ultimate goal of any sensing system is to build situation awareness. Existing<br/>solutions for a single radar node that have to assure extended areas of coverage with<br/>high resolution measurements (in range, cross-range, and Doppler) are physically<br/>cumbersome (large antenna size) and typically require large operational resources ...