Radar Systems and Remote Sensing

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Faculty
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Focus Area

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.

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Christopher Allen

Professor

callen@ku.edu

785-864-8801

3024 Eaton Hall

Primary Research Interests

Lightwave/Photonics Systems and Devices
Radar Systems Design and Analysis

Shannon Blunt

Professor

sdblunt@ku.edu

785-864-7326

Eaton Hall, room 3034

Primary Research Interests

Adaptive Signal Processing for Radar and Communications
Array Processing
Interference Cancellation
Waveform Diversity/Design for Physical Systems
Spectrum Engineering

Kenneth Demarest

Professor

demarest@ku.edu

785-864-7395

3028 Eaton Hall

Primary Research Interests

Antennas and Lightwave Systems

Rongqing Hui

Professor

rhui@.ku.edu

785-864-8814

3026 Eaton Hall

Primary Research Interests

Optical/RF Measurement and Biosensors
Novel Photonic Devices
Optical Communication Systems

Carlton Leuschen

Professor

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

Glenn Prescott

Professor

prescott@ku.edu

785-864-8815

3048 Eaton Hall

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

James Stiles

Associate Professor

jstiles@ku.edu

785-864-8803

3032 Eaton Hall

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

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Guanghui Wang

Assistant Professor

ghwang@ku.edu

785-864-8800

3012 Eaton Hall

Primary Research Interests

Computer vision
Image processing
Pattern recognition
Artificial intelligence
Robotics

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

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.

Core Coursework (MS)

EECS 723 Microwave Engineering: Survey of microwave systems, techniques, and hardware. Guided-wave theory, microwave network theory, active and passive microwave components. Prerequisite: EECS 420. LEC.
The class is not offered for the Fall 2019 semester.

EECS 725 Introduction to Radar Systems: Basic radar principles and applications. Radar range equation. Pulsed and CW modes of operation for detection, ranging, and extracting Doppler information. Prerequisite: EECS 360, EECS 420, EECS 461 or MATH 526. EECS 622 recommended. LEC.
The class is not offered for the Fall 2019 semester.

EECS 744 Communications and Radar Digital Signal Processing: The application of DSP techniques to specialized communications and radar signal processing subsystems. Topics include A-D converters, specialized digital filters, software receiver systems, adaptive subsystems and timing. Prerequisite: An undergraduate course in DSP such as EECS 644. LEC.
The class is not offered for the Fall 2019 semester.

EECS 820 Advanced Electromagnetics: A theorem-based approach to solving Maxwell's equations for modeling electromagnetic problems encountered in microwave systems, antennas, scattering. Topics include waves, source modeling, Schelkunoff equivalence principle, scattered filed formulations, electromagnetic induction, reciprocity principles, Babinet's principle, and construction of solutions in various coordinate systems. Prerequisite: EECS 420. LEC.
The class is not offered for the Fall 2019 semester.

EECS 861 Random Signals and Noise

Fundamental concepts in random variables, random process models, power spectral density. Application of random process models in the analysis and design of signal processing systems, communication systems and networks. Emphasis on signal detection, estimation, and analysis of queues. This course is a prerequisite for most of the graduate level courses in radar signal processing, communication systems and networks. Prerequisite: An undergraduate course in probability and statistics, and signal processing. LEC.

Fall 2019
Type	Time/Place and Instructor	Credit Hours	Class #
LEC	Hashemi, Morteza TuTh 02:30-03:45 PM LEA 3150 - LAWRENCE	3	11177
DIS	Hashemi, Morteza Tu 04:30-05:30 PM LEA 3150 - LAWRENCE	3	17659
LEC	Hashemi, Morteza TuTh 02:30-03:45 PM KS-ST OLTH - EDWARDS	3	20603

Note: Students must take either EECS 720 or EECS 861 to fulfill their core coursework requirement.

Elective Coursework (MS)

EECS 611 Electromagnetic Compatibility: A study of unwanted generation and reception of radio-frequency radiation from analog and digital electronic systems and how these emissions/receptions can be reduced. Topics covered include sources of radiation, grounding, shielding, crosstalk, electrostatic discharge, and practical design and layout schemes for reducing unwanted radiation and reception. Also covered are the major governmental electromagnetic compatibility (EMC) regulations and standards that apply to commercial electronic devices and systems. Prerequisite: EECS 220 and EECS 312. LEC.
The class is not offered for the Fall 2019 semester.

EECS 622 Microwave and Radio Transmission Systems

Introduction to radio transmission systems. Topics include radio transmitter and receiver design, radiowave propagation phenomenology, antenna performance and basic design, and signal detection in the presence of noise. Students will design radio systems to meet specified performance measure. Prerequisite: Corequisite: EECS 420 and MATH 526 or EECS 461. LEC.

Fall 2019
Type	Time/Place and Instructor	Credit Hours	Class #
LEC	Stiles, James MWF 11:00-11:50 AM LEA 3150 - LAWRENCE	3	14786
LEC	Stiles, James MWF 11:00-11:50 AM KS-ST OLTH - EDWARDS	3	18229

EECS 628 Fiber Optic Communication Systems: Description and analysis of the key components in optical communication systems. Topics covered include quantum sources, fiber cable propagation and dispersion characteristics, receiver characteristics, and system gain considerations. Prerequisite: EECS 220 and PHSX 313 or equivalent and upper-level EECS eligibility. LEC.
The class is not offered for the Fall 2019 semester.

EECS 644 Introduction to Digital Signal Processing: Discrete time signal and systems theory, sampling theorem, z-transforms, digital filter design, discrete Fourier transform, FFT, and hardware considerations. Prerequisite: EECS 360. LEC.
The class is not offered for the Fall 2019 semester.

EECS 713 High-Speed Digital Circuit Design

Basic concepts and techniques in the design and analysis of high-frequency digital and analog circuits. Topics include: transmission lines, ground and power planes, layer stacking, substrate materials, terminations, vias, component issues, clock distribution, cross-talk, filtering and decoupling, shielding, signal launching. Prerequisite: EECS 312 and senior or graduate standing. EECS 420 recommended. LEC.

Fall 2019
Type	Time/Place and Instructor	Credit Hours	Class #
LEC	Allen, Christopher TuTh 11:00-12:15 PM LEA 3150 - LAWRENCE	3	27863
LEC	Allen, Christopher TuTh 11:00-12:15 PM KS-ST OLTH - EDWARDS	3	29272

EECS 721 Antennas: Gain, Pattern, and Impedance concepts for antennas. Linear, loop, helical, and aperture antennas (arrays, reflectors, and lenses). Cylindrical and biconical antenna theory. Prerequisite: EECS 360 and EECS 420, or EECS 720, or permission of the instructor. LEC.
The class is not offered for the Fall 2019 semester.

EECS 728 Fiber-optic Measurement and Sensors

The course will focus on fundamental theory and various methods and applications of fiber-optic measurements and sensors. Topics include: optical power and loss measurements, optical spectrum analysis, wavelength measurements, polarization measurements, dispersion measurements, PMD measurements, optical amplifier characterization, OTDR, optical components characterization and industrial applications of fiber-optic sensors. Prerequisite: EECS 628 or equivalent. LEC.

Fall 2019
Type	Time/Place and Instructor	Credit Hours	Class #
LEC	Hui, Rongqing TuTh 08:00-09:15 AM LEA 2111 - LAWRENCE	3	24348

EECS 823 Microwave Remote Sensing: Description and analysis of basic microwave remote sensing systems including radars and radiometers as well as the scattering and emission properties of natural targets. Topics covered include plane wave propagation, antennas, radiometers, atmospheric effects, radars, calibrated systems, and remote sensing applications. Prerequisite: EECS 420 and EECS 622. LEC.
The class is not offered for the Fall 2019 semester.

EECS 844 Adaptive Signal Processing

This course presents the theory and application of adaptive signal processing. Topics include adaptive filtering, mathematics for advanced signal processing, cost function modeling and optimization, signal processing algorithms for optimum filtering, array processing, linear prediction, interference cancellation, power spectrum estimation, steepest descent, and iterative algorithms. Prerequisite: Background in fundamental signal processing (such as EECS 644.) Corequisite: EECS 861. LEC.

Fall 2019
Type	Time/Place and Instructor	Credit Hours	Class #
LEC	Blunt, Shannon MWF 08:00-08:50 AM LEA 3150 - LAWRENCE	3	21003
LEC	Blunt, Shannon MWF 08:00-08:50 AM KS-ST OLTH - EDWARDS	3	22017

EECS 861 Random Signals and Noise

Fall 2019
Type	Time/Place and Instructor	Credit Hours	Class #
LEC	Hashemi, Morteza TuTh 02:30-03:45 PM LEA 3150 - LAWRENCE	3	11177
DIS	Hashemi, Morteza Tu 04:30-05:30 PM LEA 3150 - LAWRENCE	3	17659
LEC	Hashemi, Morteza TuTh 02:30-03:45 PM KS-ST OLTH - EDWARDS	3	20603

EECS 965 Detection and Estimation Theory

Detection of signals in the presence of noise and estimation of signal parameters. Narrowband signals, multiple observations, signal detectability and sequential detection. Theoretical structure and performance of the receiver. Prerequisite: EECS 861. LEC.

Fall 2019
Type	Time/Place and Instructor	Credit Hours	Class #
LEC	Stiles, James MWF 09:00-09:50 AM LEA 3150 - LAWRENCE	3	27876
LEC	Stiles, James MWF 09:00-09:50 AM KS-ST OLTH - EDWARDS	3	29927

EECS 820 Advanced Electromagnetics: A theorem-based approach to solving Maxwell's equations for modeling electromagnetic problems encountered in microwave systems, antennas, scattering. Topics include waves, source modeling, Schelkunoff equivalence principle, scattered filed formulations, electromagnetic induction, reciprocity principles, Babinet's principle, and construction of solutions in various coordinate systems. Prerequisite: EECS 420. LEC.
The class is not offered for the Fall 2019 semester.

Note(s): If students wish to take both EECS 720 and EECS 861 they may count one course for credit towards fulfulling their elective coursework requirement.

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Associated Disciplines

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Program Objectives

Core Coursework (MS)

Elective Coursework (MS)