Thermal Infrared Sensors: Theory, Optimisation and Practice
By Helmut Budzier and Gerald Gerlach
()
About this ebook
Thermal Infrared Sensors offers a concise explanation of the basic physical and photometric fundamentals needed for the consideration of these interactions. It depicts the basics of thermal IR sensor systems and explains the manifold causal relationships between the most important effects and influences, describing the relationships between sensor parameters such as thermal and special resolution, and application conditions.
This book covers:
- various types of thermal sensors, like thermoelectric sensor, pyroelectric sensors, microbolometers, micro-Golay cells and bimorphous sensors;
- basic applications for thermal sensors;
- noise - a limiting factor for thermal resolution and detectivity - including an outline of the mathematics and noise sources in thermal infrared sensors;
- the properties of IR sensor systems in conjunction with the measurement environment and application conditions;
- 60 examples showing calculations of real problems with real numbers, as they occur in many practical applications.
This is an essential reference for practicing design and optical engineers and users of infrared sensors and infrared cameras. With this book they will be able to transform the demonstrated solutions to their own problems, find ways to match their commercial IR sensors and cameras to their measurement conditions, and to tailor and optimise sensors and set-ups to particular IR measurement problems. The basic knowledge outlined in this book will give advanced undergraduate and graduate students a thorough grounding in this technology.
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Thermal Infrared Sensors - Helmut Budzier
For Prof. Dr. Ludwig Walther, founder of the Dresden Infrared School
Preface
Until only a few decades ago, infrared technology was mainly the domain of military technology. In recent times, though, it has invaded an increasing number of new applications in our everyday lives. Examples are motion and fire detectors, ear thermometers, sensors that register the degree of browning in toasters, hand pyrometers for the contactless measuring of temperatures and thermal imaging devices. Infrared sensors are even the basis for new areas of application such as technical diagnosis, non-destructive evalution methods, environmental monitoring, gas sensors and remote sensing.
The technical interest in infrared radiation is due to the fact that it can be used both to determine the temperature without contact and thus the presence of bodies as well as the characteristics of bodies themselves including their structures:
At room temperature, the maximum specific spectral radiation of blackbodies amounts to an approximate wavelength of 10 μm. This radiation wavelength range is therefore of fundamental importance for detecting real objects and determining their characteristics.
The bond between the atoms of organic and anorganic molecules show resonance frequencies that almost always correspond to wavelengths in the infrared spectral range. If we can determine the frequency – or wavelength-related reflecting, transmitting and absorbing characteristics of substances and mixtures of substances – we can also determine the atomic or molecular structure of materials.
The increasing technical utilisation of infrared radiation in the mentioned areas of application is also related to central development trends in infrared measuring technology:
Improved characteristics of infrared detectors. Research focuses particularly on increasing detectivity and improving the temperature resolution of such sensors as well as the transition to uncooled sensor principles.
Development of highly integrated sensor arrays. Large pixel numbers of detector arrays require the miniaturisation of components and thus also the transition to semiconductor technology and the integration of sensor element and evaluation electronics. Thin layers on silicon substrates, the use of standard circuitry for evaluation electronics and the development of improved circuit technologies are of particular importance.
Optimisation of infrared measuring systems. Here, the research focus is on the improvement of all system components and the optimisation of the characteristics of the total system.
Analysis and development of new applications: contactless, emissivity-independent temperature measurements, spectroscopic applications, miniaturised spectroscopy, multicolour sensors, recognition systems and many more.
Thermal infrared sensors, in particular, are very important for civil applications as they can be used – as opposed to quantum detectors – in a non-cooled state and are therefore suitable for small and cost-efficient solutions and thus for large quantities.
Today, we do not only have a vast number of applications of thermal infrared sensors, but also the technological requirements regarding size, design, optical conditions, thermal and spatial resolution and many other framework conditions have diversified. This has resulted in very complex issues that users have to solve when trying to design optimum measuring arrangements or conditions. Each individual part of the measuring chain affects the relation between the source of the infrared radiation and the output signal of the measuring system. For this reason there are no simple rules and the problems cannot be solved without a basic understanding of the correlations.
There is a very limited number of textbook-like presentations available that summarise these issues. The present book intends to fill this gap by providing explanations of the essential basics of thermal infrared sensors and the correlation between the diverse effects. Using a large number of examples we will systematically show how this basic knowledge can be applied to the solution of specific tasks. Although the authors start with introducing the physical basics, they will only develop them to the point where they are necessary for real-life, recalculable ups with specific characteristics.
The goal of this book is to create a basic manual for users. It is intended to provide engineers, technicians, technical management, purchasers, and equipment suppliers with practical knowledge regarding the usage of modern infrared sensors and measuring systems. The book focuses on thermal infrared sensors. This way, we want to avoid exceeding the scope and keep it handy. The authors agreed that this would not constitute any serious restriction. On the one hand, it is mainly the uncooled, thermal sensors that represent the largest increases in commercial sales and determine the major part of new applications. On the other hand, it is possible to transfer major parts of the information to quantum detectors.
The present book is based on lectures on infrared measuring technology that the authors have held during many years at the Technische Universitlsquät Dresden, Germany. This book, however, was designed in a completely different way in order to turn the information into a basic user manual. This means this publication has been a new experience for us, too. We are aware that it will not be complete right away, and would therefore appreciate corrections, ideas, and suggestions for improvements (Helmut.Budzier@tu-dresden.de; Gerald.Gerlach@tu-dresden.de).
The authors would like to express their thankfulness to Volker Krause, Ilonka Pfahl and the publisher, in particular Simone Taylor and Nicky Skinner who provided the necessary support for a fast and uncomplicated publishing process.
We would like to express our appreciation to Dörte Müller who did a great job in translating the manuscript from German into English.
We would also like to thank Volkmar Norkus (TU Dresden/Germany), Norbert Neumann (InfraTec GmbH Dresden/Germany), Günter Hofmann (DIAS Infrared GmbH Dresden/Germany), Jörg Schieferdecker (Heimann Sensor GmbH Dresden/Germany) and Jean-Luc Tissot (ULIS France) for their support, discussions and for providing materials.
Dresden, June 2009
Helmut Budzier, Gerald Gerlach
List of Examples
Example 1.1 Responsivity and Detectivity of Thermal Sensors and Photon Sensors
Example 2.1 Power Dissipation in Dielectrics
Example 2.2 Absorption in a Microbolometer Bridge
Example 2.3 Blackbody
Example 2.4 Exitance Curve
Example 3.1 Solid Angle of a Triangular Area
Example 3.2 Angle-Related Responsivity of Infrared Sensors
Example 3.3 Ideal Diffuse Reflection
Example 3.4 Radiance of a Blackbody
Example 3.5 Irradiance of a Sensor Element
Example 3.6 Projected Solid Angle of the Pixel of a Bolometer Array
Example 3.7 Projected Solid Angle of a Square and a Circular Aperture Stop
Example 3.8 Projected Solid Angle of Two Parallel Circular Areas
Example 4.1 Time and Ensemble Average
Example 4.2 Noise of an Electric Current
Example 4.3 ACF of a Stochastic Signal
Example 4.4 Autocorrelation Function of White Noise
Example 4.5 Noise Power of Bandwidth-Limited White Noise
Example 4.6 Equivalent Noise Bandwidth of a First-Order Low-Pass
Example 4.7 Spectral Noise Power Density of a First-Order Low-Pass
Example 4.8 Output Noise of an Infrared Bolometer
Example 4.9 Noise of a Lossy Capacitor
Example 4.10 1/f Noise of a Semiconductor Resistor
Example 4.11 Signal-to-Noise Ratio of the Total Radiation of a Blackbody
Example 4.12 Noise Flux in a Microbolometer Due to Heat Conduction and Heat Radiation
Example 5.1 Measuring the Responsivity of a Microbolometer Array
Example 5.2 Measuring the Responsivity of a Pyroelectric Sensor
Example 5.3 Radiant Flux between Blackbody and Sensor Pixel
Example 5.4 Differential Exitance
Example 5.5 Presentation of Uniformity
Example 5.6 BLIP-NEP
Example 5.7 BLIP Detectivity
Example 5.8 BLIP-NETD
Example 5.9 Measuring NETD
Example 5.10 Radiant Flux to a Sensor
Example 5.11 Gain Effect of an Optics
Example 5.12 MTF of a Diffraction-Limited Optics
Example 5.13 Transfer of a Rectangle Signal
Example 5.14 Thermal MTF of a Pyroelectric Line Sensor
Example 5.15 Measuring MTF Using a Knife-Edge Image
Example 6.1 Temperature Change of a Sensor
Example 6.2 Normalised Temperature Responsivity of a Microbolometer Bridge
Example 6.3 Rectangular Modulation of the Radiant Flux
Example 6.4 Influence of the Gas Layer on the Normalised Temperature Responsivity
Example 6.5 Thermal MTF for Rectangular Chopping
Example 6.6 Two-Port Parameters of a Microbolometer
Example 6.7 Thermoelectric Voltage at Doped Silicon
Example 6.8 Dimensioning of Thermopiles
Example 6.9 Electric Characteristics of a Pyroelectric Detector Element
Example 6.10 Noise Current of a Pyroelectric Detector Element
Example 6.11 Noise in Current Mode
Example 6.12 Noise in Voltage Mode
Example 6.13 Acceleration Responsivity of Pyroelectric Sensors
Example 6.14 Responsivity of a Pyroelectric Sensor
Example 6.15 Specific Detectivity and NETD of a Pyroelectric Sensor
Example 6.16 Responsivity of a Pyroelectric Sensor with Integrated FET
Example 6.17 Voltage Responsivity of a Bolometer
Example 6.18 Current–Voltage Curve of Bolometers
Example 6.19 Noise of a Microbolometer Pixel
Example 6.20 Temperature Resolution of a Microbolometer
Example 6.21 Thermal Parameters of a Microbolometer Pixel
Example 6.22 Temperature Change of a Bolometer Due to the Bias Current
Example 6.23 Sensor Capacity for a Tilted Electrode
Example 6.24 Temperature Resolution of a Cantilever
Example 6.25 Temperature Coefficient of a Micro-Golay Cell
Example 6.26 Thermal Resolution of a Micro-Golay Sensor
Example 7.1 Systematic Deviation ΔT of a Total Radiation Measurement for an Incorrectly Assumed Emissivity ε
Example 7.2 Temperature Deviation of a Quotient Pyrometer
Example 7.3 Influence of the Camera's Self-Radiation on the Thermal Image
Example 7.4 Spiral Choppers
Example 7.5 Inhomogeneity-Equivalent Temperature Difference
List of Symbols
Indices
Abbreviations
Chapter 1
Introduction
1.1 Infrared Radiation
1.1.1 Technical Applications
Infrared (IR) radiation is an electromagnetic radiation in the wavelength range between visible radiation (often abbreviated as VIS; λ = 380–780 nm) and microwave radiation (λ = 1 mm–1 m). IR radiation has some physical characteristics that make them particularly suitable for a number of technical applications:
Each body emits electromagnetic radiation (see Section 2.3). The radiation depends on the wavelength and is determined by the body's temperature. Thus the measured radiation can be used to measure the body's temperature. This characteristic is used for contactless temperature measurement (pyrometry).
For high temperatures of several 1000 K, the maximum falls within the visible range; the human eye has adapted its highest sensitivity to λ ≈ 550 nm, corresponding to the surface temperature of the sun (approximately 6000 K). Opposed to this, at ambient temperature the irradiation of bodies has an infrared maximum of about 10 μm (see Figure 3.2.1). This can be used to detect the presence and motion of people (motion detectors, security systems) or to record entire scenes with IR cameras – similar to video cameras. The latter has the advantage that parts of the IR spectrum allow the propagation of radiation even in darkness or under foggy conditions – the basis for night vision devices and driver assist systems.
IR cameras can also be used for recording thermal images showing the thermal isolation of buildings, temperature distribution of combustion processes or temperature-dependent processes. Today, commercial thermal cameras have an image resolution similar to that of high-resolution TV.
Electromagnetic radiation can induce oscillations in the atoms of molecules. In that case distance and angle of the bonds between atoms, for instance, change periodically. Each bond has a specific resonance frequency at which the radiation is almost completely absorbed. As radiation frequency ν and wavelength λ are coupled via propagation velocity c.
(1.1.1) equation
Chemical compounds absorb radiation at characteristic wavelengths. Many of these absorption wavelengths fall within the IR range. IR radiation with a specific wavelength can thus be used to determine the presence and concentration of specific substances, which can be applied for the gas analysis. If we record complete reflexion and transmission spectres of irradiated samples, the position of the absorption bands can be used to draw conclusions about their chemical composition (IR spectrometry).
Looking at the mentioned characteristics and the corresponding technical applications, the typical structure of infrared measuring systems becomes apparent (Table 1.1.1). The measuring object can be the IR radiation source itself (pyrometry, thermal imaging, motion detectors) or affect the transmission of the propagation path (gas analysis, spectroscopy/spectrometry).
Table 1.1.1 Typical structure of infrared sensors and measuring systems
The structure of this book follows the measuring chain presented in Table 1.1.1, which means that Chapter 2 will discuss the origin and propagation of electromagnetic radiation. The radiation sources will be limited to thermal emitters as they themselves constitute the measuring object in pyrometers, thermal imaging devices as well as motion detectors and are preferably used in gas analysis and spectrometry.
Section 2.1 discusses the effect that the propagation of electromagnetic radiation occurring on the propagation path has, particularly on the detection of chemical species.
Chapter 3 presents the photometric basics including mapping the radiation source area to the area of the sensor or sensor array. As in most applications the IR radiation is emitted from an emitter's surface into space; we will put particular emphasis on the solid angle relations between radiation source and sensor. Due to the huge variety, classical optical elements such as lenses, gratings or filters will not be included, as this is not a book on optics. An exception will be made in Section 5.5, which will introduce the optical parameters that are important for sensor arrays.
Chapter 5 describes the characteristics of infrared optical sensors and sensor arrays. As the minimum detectable radiant fluxes or temperature differences, respectively, are determined by physically unavoidable noise processes, Chapter 4 will introduce the basics and the most important noise sources for IR sensors.
Chapter 6 describes the structure and characteristics of important thermal infrared sensors. We limit the discussion to thermal IR sensors as they do not have to be cooled and therefore can be miniaturised and are comparatively inexpensive (thermal imaging cameras with HDTV resolution are currently already available for only several thousand to tens of thousands Euro). They have come to clearly dominate the civil applications' market.
Chapter 7 finally presents an overview of the basics presented in the previous chapters for the applications included in Table 1.1.1.
1.1.2 Classification of Infrared Radiation
Infrared radiation is a high-frequency electromagnetic radiation. For the propagation in linear-optical components (vacuum, air, glass, silicon), frequency ν remains constant, whereas wavelength λ can change depending on wave propagation (light) velocity c in different media:
(1.1.2) equation
where c0 is the speed of light in vacuum and n the refractive index. In spectroscopy, wave number σ is often used as the reciprocal of the wavelength:
(1.1.3) equation
Wavelength ranges can be classified according to several criteria. In the following, we will present the classification that is commonly used in infrared measuring technology and that results from transmission τ of the atmosphere due to the absorption of water vapour (H2O) and carbon dioxide (CO2) in the air (Figure 1.1.1). For all applications where the atmosphere constitutes the transmission path, only selected wavelength ranges – atmospheric windows – can be used (areas shaded in grey in Figure 1.1.1; Table 1.1.2).
Figure 1.1.1 Typical transmission in atmosphere during summer in Central Europe. Parameter: Length of propagation path
Table 1.1.2 Atmospheric windows
In the optimal case, the maximum of the radiation source's specific irradiation lies exactly in the selected range (WIEN's displacement law; Equation 2.3.6).
In correspondence to the atmospheric windows in Table 1, the infrared radiation range can be divided into near- (NIR), mid- (MIR), far- (FIR) and ultrafar- (UFIR) infrared (Table 1.1.3).
Table 1.1.3 Classification of infrared radiation
Here, monochromatic radiation is radiation of a single frequency or wavelength, respectively. Mostly though, radiation