Radar Systems and Remote Sensing
EECS researchers explore numerous facets within radar systems including experimental system development, theoretical signal processing, and electromagnetics. Building on a long and storied history in radar innovation, current research delves into multiple-input and multiple-output (MIMO) radar, pulse agility, compressive sensing, adaptive transmission, high-power spectral efficiency, antenna array, and electromagnetic compatibility. KU is internationally known for its radar research and development in climate change.
Program Objectives
- Describing the basic operating principles, performance characteristics, and block diagrams of various radar systems.
- Comparing the various signal processing algorithms used in modern radar systems.
- Describing electromagnetic propagation, scattering and emission characteristics of natural targets and media as well as discussing the underlying physical properties that determine these characteristics.
Associated Faculty
Primary Research Interests
- Lightwave/Photonics Systems and Devices
- Radar Systems Design and Analysis
Primary Research Interests
- Adaptive Signal Processing for Radar and Communications
- Radar Waveform Optimization/Implementation
- Radar Pulse Compression
- Space-Time Adaptive Processing
- Array Processing
- Radar Spectrum Engineering
- Radar-Embedded Communications
- Interference Cancellation
- Multistatic Radar
- Biomedical Imaging
Advisory Positions
- U.S. President's Council of Advisors on Science and Technology (PCAST)
- Subject matter expert on spectrum for the White House Office of Science & Technology Policy on America's Mid-Band Initiative Team (AMBIT)
- Subject matter expert on spectrum R&D for the Office of the Under Secretary of Defense for Research & Engineering
- Subject matter expert on proactive spectrum sharing for the National Spectrum Consortium
- AFRL/IDA expert panel on spectrum warfare & communications
- Subject matter expert on radar/communication spectrum sharing for DARPA
- Consultant on radar waveform diversity for the Naval Research Laboratory - Radar Division
Affiliations
- IEEE AESS Radar Systems Panel (2007-2020)
- MSS Tri-Service Radar Symposium Program Committee (2010-present)
Primary Research Interests
- Antennas and Lightwave Systems
Primary Research Interests
- Optical/RF Measurement and Biosensors
- Novel Photonic Devices
- Optical Communication Systems
leuschen@ku.edu
785-864-7723
2052 Eaton Hall
Primary Research Interests
- Radar System Design and Development
- Remote Sensing of Ice and Snow
- High Resolution Radar for Agricultural Applications
- Planetary Radar Sounding
Primary Research Interests
- Radar systems and remote sensing
- Multichannel RF signal design and optimization
- Dual-function radar-communications
- Adaptive signal processing and parameter estimation
- Electromagnetic spectrum coexistence
Primary Research Interests
- Software Radio Systems
- Spread Spectrum and Military Communication Systems
- Radio and Radar Signal Processing
- DSP Applications in Acoustics and Radio Signals
- Wireless Communication Systems
Primary Research Interests
All aspects of electromagnetic sensing, including:
- Radar Signal Processing
- Radar Remote Sensing
- Applications Estimation Theory in electromagnetic sensing
- Applications of Marginal Fisher's Information in sensor Design
- Ground-Penetrating Radar
- Wave Propagation and Scattering
Associated Facilities
- Optical spectrum analyzer
- 50GHz microwave network analyzer
- 40GHz digital oscilloscope
- Tunable laser sources and optical filters
- 40Gb/s and 12 Gb/s BERTs
- Electro-optic modulators, WDM multiplexers, demultiplexers
- High-speed photodetectors
- Commercial WDM systems
- High-speed digital T/R rooftop antenna
- 360 km of fiber installed for systems-level testing
- DSP rapid prototyping system
- Circuit board fabrication facility
- Logic analyzers
- Network analyzers
- Spectrum analyzers, oscilloscopes, and function generators
- Prototype PC board fabrication tools
- RF signal generators
- Variety of DSP and EM design tools
Core Coursework (MS)
Courses
Note: Students must take either EECS 720 or EECS 861 to fulfill their core coursework requirement.