Day 2 - 21 July
Integrated circuits and architectures for Industrial IoT: remote sensing aspects
Prof. Smail Tedjini
The equipment of RF measurements are expensive because they require very high frequency clocks.
For this reason many comapnies offer the option of renting such equipment, or offer the service of using an equipped lab.
The cost can reach 1 million euros for GHz- frequencies equipment, it decreases for sub-GHz frequencies.
Some companies working with these tehnologies:
ASA Automotive Serdes Alliance: https://auto-serdes.org/
keysight mmwave
synopsis
cobots: collaborative robots
Radar applications:
Radars in the industry:
Bosch:Front radar sensor → Germany
Denso → China
https://novelda.com/ → using radar in bio-signal detection
https://idsgeoradar.com/ → used for rescue after earthquakes…
https://www.infineon.com/cms/en/product/sensor/radar-sensors/radar-sensors-for-iot/
https://www.terma.com/products/radars/ → military applications
Radar design needs:
transmitted power between 0 and 10 dBm
short wavelength for miniaturization
range from <1m to 100-200m
detection with low SNR of 10-20 dB
radar equation:
the equation could be more complex due to shadowing and other aspects….
cross section from tens of cm2 to m2
DSP techniques
Receiver sensitivity
Multiple channels
Lidar: uses light instead of other EM signals with lower frequencies
Lidar allows for better resolution, its cost is much higher, it is based on photonic technology which is still not very much mature.
In example, https://www.navya.tech/en/solutions/moving-people/ such applications require cm-scale precision that is offered by Lidar, however this technology is still challenging.
working at 10 GHz offers lower attenuation compared to higher frequencies
The fact of using a rotating radars increases the cost due to the continuous maintenance because of the motor.
The trend is moving from hardware to software.
In order to be able to distinguish the direction of the arriving signal we need at least two receivers (the case above), comparing the received signal on the two receivers the radar can deduce the direction o the signal.
The transmitter and the receiver have the same carrier signal.
Digital Radar EW is a radar on a chip:
Linear-FMCW waveform: moving target
The frequency increase in a linear way (or other shape), the wave in red is the received signal when there is no obstacle (no reflection), so it reads the same transmitted signal but shifted in time, the change in frequency is due to Doppler effect.
Industrial solutions for COTS radar components: Analog Devices.
Big companies as Analog Devices they sell components and not solutions.
Low complex FPGA used to implement in real-time the complete baseband Radar processing.
Passive radar is important in terms of military radar so that the target is not recognized
Passive radar is a class of radar systems that detect and track objects by processing reflections from non-cooperative sources of illumination in the environment, such as commercial broadcast and communications signals.
V Band automotive radar (77GHz Radar):
Radar dome:
The front side of the car should not be metallic so that the signal of the radar is not reflected.
Meta-materials is a trend towards that.
One application is measuring the heart beats of a human → biomedical application
UWB Radar can be used in military application since there is no constraints on bandwidth.
Active research fields:
ISAC Integrating Sensing and Communication
ISAC in 6G
in 5G sensing and communication are still separated, however they can be joined in 6G
Companies developing 6G: Hexa-X
Resolving cross-talk, (when there is interference between the transmitted and received signal) is done by decreasing the power of transmision while receiving, or even by cancelling it directly from the received signal.
Electromagnetic propagation issues for Industrial IoT
Prof. Ludger Klinkenbusch
Agenda:
Overview
Computational Electromagnetics
The Finite-DiffernceTime-Domain Method
Electromagnetic Compatibility Issues for the Industrial IoT
Shielding (incl. Exercise)
Analytical methods do not care about dimensions
Computational Electromagnetics:
These are numerical exact methods: the solution of Maxwell’s equations
delivers numbers (not formulas)
usually requires discretization
local numerical methods (i.e. Finite Element Method, Finite Element Method…)
global numerical method (i.e. Method of Moments, Integral Equation Method…)
Results obtained for a certain limited accuracy(depending on the available hardware)
Visualization is usually easily obtained.
The Finite-Difference Time-Domain (FDTD) Method:
we can use computer to solve maxwell equations, however computer cannot get derivatives directly, we should discretize things before. → check the slides
Yee cell:
Issues for the IoT:
Electromagnetic Compatibility is the ability of a device to reliably work within a well-defined electromagnetic environment without influencing the electromagnetic environment such that it would be unacceptable for other devices in the same environment.
Coupling mechanisms:
Galvanic coupling (e.g., using same groundline)
Capacitive coupling (e.g., electrodes of the unwanted capacitor are in different devices, used at lower frequencies)
Inductive coupling(e.g., circuits in different devices act as primary and secondary part of an unwanted transformer, used at lower frequencies)
Electromagnetic coupling (general coupling, all effects included, mostly used for higher frequencies and radiation interference)
Electrostatic discharge (ESD):
EMC: Electromagnetic Compatibility
Electric field is propagated through the conductor → low-frequency electric fields
There is eddy currents in our skin
In some cases we can have resonance, like in slitted cylinder shield because the open space is close to electromagnetic wavelength.
Simulations: → the code is uploaded
Advanced phased arrays for communications in industrial scenarios
Prof. Giuliano Manara
Agenda:
Principles of antenna arrays
Near-Field Focused Antennas (NFFAs): characteristic parameters and properties
Basic design criteria
Microwave near-field applications
Advanced synthesis techniques
Technologies for NFF antennas: some examples
Conclusions
We use Antenna Array in order to have:
High gain
Narrow HPBW
Beamforming
Array: having two dipoles
Additive Manufacturing for wireless tags and sensors
Prof. Simone Genovesi
Envisioned applications of 2D-3D printed RFID tags
Overview of additive manufacturing technologies and sensing concepts
Chipless RFID tag and sensors
Using 2D-3D printing to fabricate antenna and sensors
Chipless RFID Sensors → 3D printing using a conducting material
additive manufacturing can help reduce the cost of sensors
3D is more complex than other production methods, however it allows full customization
Introduction to AM:
Vat Photopolymerization:
based only on resin
very high resolution
Extrusion based systems:
the material is semi-melted by heat to be attached to the other layers
support material is needed
in same material another material is used as support and that can be dissolved in water
lots of infill techniques can be used for empty objects:
A sensor is a transducer: changing one form of energy to another
Sensors should be sensitive to their target measurands, and insensitive to any other input
quantities, which might impact on their performance → selectivity