Signal Processing for Radar and Imaging Radar
Visiting Lecturer: Dr.-Ing. D. Cerutti-Maori
Contents
Radars are active systems in that they generate and transmit their own waveforms. This active characteristic allows radar systems to provide effective day and night operation, a capability not typically available with optical systems which rely on an external source of electromagnetic radiation at optical wavelengths. This combination of full time functionality with the ability of radar wavelengths to penetrate clouds, dust and other materials, has allowed radar remote sensing to establish itself as a powerful and versatile technique with applicability to a broad range of end uses ranging through earth observation, environmental monitoring, traffic control, and military surveillance.
This course presents an introduction to radar and radar signal processing. Following topics are covered:
- Applications of radar for remote sensing
- Radar waveforms and pulse compression
- Radar equation
- Array signal processing
- Detection and estimation
- Synthetic aperture radar (SAR) for 2D imaging
- Advanced SAR modes
Tutorial problems are solved using Matlab. Different aspects of radar signal processing are investigated:
- Radar waveforms and pulse compression
- Adaptive array processing: cancellation of interfering sources
- Development of a SAR simulator
- Implementation of a SAR processor
- Processing of real SAR data
Through active participation in this course, students
- have an understanding of radar as a system
- are familiar with different kinds of radar
- have acquired profound knowledge of radar signal processing
- are able to simulate and process radar data
- have deepened their Matlab knowledge
Basic knowledge in signal processing is required for this course.
Further information: RWTHonline