Planar Microwave Sensors

Comprehensive resource detailing the latest advances in microwave and wireless sensors implemented in planar technology

Planar Microwave Sensors is an authoritative resource on the subject, discussing the main relevant sensing strategies, working principles, and applications on the basis of the authors’ own experience and background, while also highlighting the most relevant contributions to the topic reported by international research groups. The authors provide an overview of planar microwave sensors grouped by chapters according to their working principle.

In each chapter, the working principle is explained in detail and the specific sensor design strategies are discussed, including validation examples at both simulation and experimental level. The most suited applications in each case are also reported. The necessary theory and analysis for sensor design are further provided, with special emphasis on performance improvement (i.e., sensitivity and resolution optimization, dynamic range, etc.). Lastly, the work covers a number of applications, from material characterization to biosensing, including motion control sensors, microfluidic sensors, industrial sensors, and more.

Sample topics covered in the work include:

• Non-resonant and resonant sensors, reflective-mode and transmission-mode sensors, single-ended and differential sensors, and contact and contactless sensors
• Design guidelines for sensor performance optimization and analytical methods to retrieve the variables of interest from the measured sensor responses
• Radiofrequency identification (RFID) sensor types, prospective applications, and materials/technologies towards “green sensors” implementation
• Comparisons between different technologies for sensing and the advantages and limitations of microwave sensors, particularly planar sensors

Engineers and qualified professionals involved in sensor technologies, along with undergraduate and graduate students in related programs of study, can harness the valuable information inside Planar Microwave Sensors to gain complete foundational knowledge on the subject and stay up to date on the latest research and developments in the field.

Professor Ferran Martín (PhD, IEEE Fellow), Paris Vélez (PhD, Senior Member IEEE), Jonathan Muñoz-Enano (Graduate Student Member IEEE), and Lijuan Su (PhD, Member IEEE) are researchers at CIMITEC, a Research and Technology-Transfer Centre (headed by Ferran Martín) affiliated to the Departament d’Enginyeria Electrònica at the Universitat Autònoma de Barcelona (UAB), in Spain. Their activity in recent years has been mainly devoted to the design and applications of planar microwave sensors. They have generated dozens of journal papers and conference contributions related to the topic, published in the top international journals and conferences in the field of sensors and microwave technologies.

Preface

Acknowledgments

1 Introduction to Planar Microwave Sensors

1.1 Sensor performance indicators, classification criteria, and general overview of sensing technologies

1.1.1 Performance indicators

1.1.2 Sensors’ classification criteria

1.1.3 Sensing technologies

1.1.3.1 Optical sensors

1.1.3.2 Magnetic sensors

1.1.3.3 Acoustic sensors

1.1.3.4 Mechanical sensors

1.1.3.5 Electric sensors

1.2 Microwave sensors

1.2.1 Remote sensing: RADARs and radiometers

1.2.2 Sensors for in situ measurement of physical parameters and material properties: non-remote sensors

1.2.2.1 Classification of non-remote microwave sensors

1.2.2.2 Resonant cavity sensors

1.2.2.3 The Nicolson-Ross-Weir (NRW) method

1.2.2.4 Coaxial probe sensors

1.2.2.5 Planar sensors

1.3 Classification of planar microwave sensors

1.3.1 Contact and contactless sensors

1.3.2 Wired and wireless sensors

1.3.3 Single-ended and differential-mode sensors

1.3.4 Resonant and non-resonant sensors

1.3.5 Reflective-mode and transmission-mode sensors

1.3.6 Sensor classification by frequency of operation

1.3.7 Sensor classification by application

1.3.8 Sensor classification by working principle

1.3.8.1 Frequency-variation sensors

1.3.8.2 Phase-variation sensors

1.3.8.3 Coupling-modulation sensors

1.3.8.4 Frequency-splitting sensors

1.3.8.5 Differential-mode sensors

1.3.8.6 RFID sensors

1.4 Comparison of planar microwave sensors with other sensing technologies

References

2 Frequency-Variation Sensors

2.1 General working principle of frequency-variation sensors

2.2 Transmission-line resonant sensors

2.2.1 Planar resonant elements for sensing

2.2.1.1 Semi-lumped metallic resonators

2.2.1.2 Semi-lumped slotted resonators

2.2.2 Sensitivity analysis

2.2.3 Sensors for dielectric characterization

2.2.3.1 CSRR-based microstrip sensor

2.2.3.2 DB-DGS-based microstrip sensor

2.2.4 Measuring material and liquid composition

2.2.5 Displacement sensors

2.2.6 Sensor arrays for biomedical analysis

2.2.7 Multi-frequency sensing for selective determination of material composition

2.3 Other frequency-variation resonant sensors

2.3.1 One-port reflective-mode submersible sensors

2.3.2 Antenna-based frequency-variation resonant sensors

2.4 Advantages and drawbacks of frequency-variation sensors

References

3 Phase-Variation Sensors

3.1 General working principle of phase-variation sensors

3.2 Transmission-line phase-variation sensors

3.2.1 Transmission-mode sensors

3.2.1.1 Transmission-mode four-port differential sensors

3.2.1.1.1 Sensor structure and analysis

3.2.1.1.2 Sensor implementation and application to dielectric characterization and comparators

3.2.1.2 Two-port sensors based on differential-mode to common-mode conversion detectors and sensitivity enhancement

3.2.1.2.1 Differential-mode to common-mode conversion detector

3.2.1.2.2 Analysis and sensitivity optimization

3.2.1.2.3 Sensor design

3.2.1.2.4 Comparator functionality

3.2.1.2.5 Dielectric constant measurements

3.2.1.2.6 Microfluidic sensor. Solute concentration measurements

3.2.2 Reflective-mode sensors

3.2.2.1 Sensitivity enhancement by means of step-impedance open-ended lines

3.2.2.2 Highly-sensitive dielectric constant sensors

3.2.2.3 Displacement sensors

3.2.2.4 Reflective-mode differential sensors

3.3 Resonant-type phase-variation sensors

3.3.1 Reflective-mode sensors based on resonant sensing elements

3.3.2 Angular displacement sensors

3.3.2.1 Cross-polarization in split ring resonator (SRRs) and complementary SRR (CSRR) loaded lines

3.3.2.2 Slot-line/SRR configuration

3.3.2.3 Microstrip-line/CSRR configuration

3.4 Phase-variation sensors based on artificial transmission lines

3.4.1 Sensors based on slow-wave transmission lines

3.4.1.1 Sensing through the host line

3.4.1.2 Sensing through the patch capacitors

3.4.2 Sensors based on composite right/left handed (CRLH) lines

3.4.3 Sensors based on electro-inductive wave (EIW) transmission lines

3.5 Advantages and drawbacks of phase-variation sensors

References

4 Coupling-Modulation Sensors

4.1 Symmetry properties in transmission lines loaded with single symmetric resonators

4.2 Working principle of coupling-modulation sensors

4.3 Displacement and velocity coupling-modulation sensors

4.3.1 One-dimensional and two-dimensional linear displacement sensors

4.3.2 Angular displacement and velocity sensors

4.3.2.1 Axial configuration and Analysis

4.3.2.1.1 Coplanar waveguide (CPW) stator

4.3.2.1.2 Microstrip stator

4.3.2.2 Edge configuration. Electromagnetic rotary encoders

4.3.2.2.1 CPW stator

4.3.2.2.2 Microstrip stator

4.3.2.2.3 Resolution and accuracy

4.3.3 Electromagnetic linear encoders

4.3.3.1 Strategy for synchronous reading. Quasi-absolute encoders

4.3.3.2 Application to motion control

4.4 Coupling-modulation sensors for dielectric characterization

4.5 Advantages and drawbacks of coupling-modulation sensors

References

5 Frequency-Splitting Sensors

5.1 Working principle of frequency-splitting sensors

5.2 Transmission lines loaded with pairs of coupled resonators

5.2.1 CPW transmission lines loaded with a pair of coupled SRRs

5.2.2 Microstrip transmission lines loaded with a pair of coupled CSRRs

5.2.3 Microstrip transmission lines loaded with a pair of coupled SIRs

5.3 Frequency-splitting sensors based on cascaded resonators

5.4 Frequency-splitting sensors based on the splitter/combiner configuration

5.4.1 CSRR-based splitter/combiner sensor: analysis and application to dielectric characterization of solids

5.4.2 Microfluidic SRR-based splitter/combiner frequency-splitting sensor

5.5 Other approaches for coupling cancellation in frequency-splitting sensors

5.5.1 MLC-based frequency-splitting sensor

5.5.2 SRR-based frequency-splitting sensor implemented in microstrip technology

5.6 Other frequency-splitting sensors

5.6.1 Frequency-splitting sensors operating in bandpass configuration

5.6.2 Frequency-splitting sensors for two-dimensional alignment and displacement  measurements

5.7 Advantages and drawbacks of frequency-splitting sensors

References

6 Differential-Mode Sensors

6.1 The differential-mode sensor concept

6.2 Differential sensors based on the measurement of the cross-mode transmission coefficient

6.2.1 Working principle

6.2.2 Examples and applications

6.2.2.1 Microfluidic sensor based on open complementary split ring resonators (OCSRRs) and application to complex permittivity and electrolyte concentration measurements in liquids

6.2.2.2 Microfluidic sensor based on SRRs and application to electrolyte concentration measurements in aqueous solutions

6.2.2.3 Microfluidic sensor based on DB-DGS resonators and application to electrolyte concentration measurements in aqueous solutions

6.2.2.4 Prototype for measuring electrolyte content in urine samples

6.3 Reflective-mode differential sensors based on the measurement of the cross-mode reflection coefficient

6.4 Other differential sensors

6.5 Advantages and drawbacks of differential-mode sensors

References

7 RFID Sensors for IoT Applications

7.1 Fundamentals of RFID

7.2 Strategies for RFID sensing

7.2.1 Chip-based RFID sensors

7.2.1.1 Electronic sensors

7.2.1.2 Electromagnetic sensors

7.2.2 Chipless-RFID sensors

7.2.2.1 Time-domain sensors

7.2.2.2 Frequency-domain sensors

7.3 Materials and fabrication techniques

7.4 Applications

7.4.1 Healthcare, wearables and implants

7.4.2 Food, smart packaging and agriculture

7.4.3 Civil engineering: structural health monitoring (SHM)

7.4.4 Automotive industry, smart cities and space

7.5 Commercial solutions, limitations and future prospects

References

8 Comparative Analysis and Concluding Remarks

Acronyms

Index

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