Industrial – Navigation Warfare (NAVWAR) – Application of Advanced Signal Processing in Defense

Eryk J. Lipinski (M.Sc, Eng., CEO GPS.PL)

Accurate, reliable and precise position and time measurements are crucial for land, air and sea operations where effects from diverse sources must be coordinated in space and time.
Adversaries may choose to jam GNSS for tactical purposes and may deploy many small low power jammers to disrupt GNSS over wide areas.
New GNSS technology addresses the needs of Navigation Warfare (NAVWAR), including Electronic Protection, Electronic Support and Electronic Attack. This equipment ensures continuous positioning even in the face of interference and jamming. New techniques provide users with the ability to detect, locate and characterize interference sources.
GNSS jammers, jamming detectors and locators, CRPA anti-jamming antennas will be discussed.

 

Eryk J. Lipinski has 20 years of experience with GNSS satellite-based positioning and inertial stabilization and 3D-orientation. He runs solution center company GPS.PL and delivers dual-use, off-the-shelf and military solutions to Polish defense companies.

Plenary – An Overview of Cognitive Radar with applications and examples

Alfonso Farina (speaker), Antonio De Maio, Simon Haykin

How cognitive is the Radar today? The answer to this question comes from the four principles of cognition: perception-action cycle, memory, attention and intelligence. The talk starts from having a glance at history of Radar; it then moves to Mimicking Nature for Adaptivity/Knowledge based in Radar, up to Cognitivity and its potential applications to Radars with expected operational benefits. Continue reading “Plenary – An Overview of Cognitive Radar with applications and examples”

Plenary – Automotive Radar Systems

Automotive Radar Systems
Prof. Dr. Hermann Rohling, Hamburg University of Technology

Driving a car is a dangerous task! There are about 5000 fatalities on German streets every year, which are absolutely too many. Drivers have strong limitations in the ability to measure precisely the distance and the speed difference between cars, which is the reason for several accidents. The all-weather-capability as well as the capability of measuring target range and radial velocity simultaneously are some of the essential features, which make radar systems suitable for automotive applications. Continue reading “Plenary – Automotive Radar Systems”

Plenary – EDA Signal/Image Processing Research and Technology Development for EU Defence

EDA Signal/Image Processing Research and Technology Development for EU Defence
Fabrizio Berizzi (EDA)

The constant changes in the Defence framework and the new future challenges in terms of type of threats, market difficulties, compliance with new regulations/standards and the ethical issues make the Defence research and developments increasingly more challenging, complex and demanding. Continue reading “Plenary – EDA Signal/Image Processing Research and Technology Development for EU Defence”

Medical IoT paradigm and biomedical systems

Monday, September 16, 15:00-16:30
Anton Popov, PhD, SMIEEE

The complex infrastructure of interconnected medical devices and systems had evolved over the last several decades to provide accurate, continuous, and reliable support of human health and wellbeing. The healthcare IoT monitors, consults, and delivers the service to people at different scales, from wristbands counting the steps and calories, to multimodal visualization for cancer therapy. Continue reading “Medical IoT paradigm and biomedical systems”

Plenary – A brief overview of machine learning: What? How? When? … and should I care anyway?

A brief overview of machine learning: What? How? When? … and should I care anyway?
Bogdan J. Matuszewski (University of Central Lancashire, UK)

With continued advances in mathematical modelling, ever increasing  computational power and the recent unprecedented explosion of shared information (e.g. with reported hundreds of hours of video uploaded to the YouTube servers every minute) or creation of large databases most, notably in biomedicine or astronomy (e.g. consider Pan-STARRS 1.6 petabytes data) the growth in automated data analysis is unavoidable. Without the deployment of machine learning techniques, handling rapidly growing data volumes may not be possible. Continue reading “Plenary – A brief overview of machine learning: What? How? When? … and should I care anyway?”