TSKS20 · 6 credits · Advanced level (A1N) · Elektroteknik

Radar- and Sensor Systems

Active · next start HT 2027

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After passing the course, students should be able to:

Describe basic concepts related to radar and sensor systems
Reflect, interpret, and apply the concepts related to radar and sensor systems to fictional or real-world problems and perform related calculations
Implement and explain algorithmic solutions in conventional programming language to problems related to the course content.

Sensor array systems

Introduction to sensor arrays and radar: Sensor array systems and applications, radar system overview and basic concepts
Wavefields and Propagation Mechanisms: The wave equation, wave propagation: reflection, diffraction, scattering.
Radar Range Equation and Basic Measurements: Derivation and interpretation of the radar range equation, time delay and range estimation, doppler shift and velocity estimation.
Clutter and Target Models: Clutter characteristics and models, radar cross section, target fluctuating models.
Apertures and arrays: Sensors with finite apertures (linear and circular apertures), spatial sampling and sensor arrays.
Beamforming techniques: Classical and Adaptive beamforming techniques (Minimum Variance Distortionless Response (MVDR / Capon Beamformer), Least Mean Squares (LMS) & Recursive Least Squares (RLS) Beamformers
High-Resolution Techniques for Direction-of-Arrival (DOA) Estimation: MUSIC algorithm, ESPRIT algorithm
Radar waveforms: CW and PW.
Synthetic aperture radar and MIMO radar

Array signal processing

Overview of wavefields and wave propagation
Spatial processing techniques: Aperture and arrays, parametric and nonparametric, beamforming, subspace-based methods.
Adaptive array processing techniques.