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An overview of increasingly indispensable radiometric technologies
Microwave radiometers have become a central part of Earth observation and radioastronomy. Most existing reference works on the subject, however, largely omit two key types of radiometers: interferometric radiometers and polarimetric radiometers. The extensive applications of these two classes of radiometer and their potential for mapping distant celestial bodies and enhancing Earth observation has made it critical for the next generation of radiometric scientists and engineers to be familiar with this technology and its principles.
Principles of Interferometric and Polarimetric Radiometry meets this crucial need with a first-in-class overview of this key subject. Beginning with an introduction to the foundational concepts of microwave radiometry, it proceeds to work through a careful revision of the field's major theory and techniques, with a particular emphasis on interferometric and polarimetric systems. The result promises to revolutionize the use of microwave passive sensors for Earth observation and beyond.
Principles of Interferometric and Polarimetric Radiometry readers will also find:
Principles of Interferometric and Polarimetric Radiometry is ideal for graduate or advanced undergraduate courses in radiometry and microwave remote sensing.
Ignasi Corbella, PhD, is a Professor at the Universitat Politecnica de Catalunya, Barcelona, Spain. He has served since 1993 as a Researcher with the European Space Agency (ESA) SMOS mission, and he has published extensively on subjects including interferometric aperture synthesis radiometry, radiometer hardware specificiation, image reconstruction, and many more.
Foreword xiii
About the Author xix
Preface xxi
Acknowledgments xxv
1 Signals, Receivers, and Antennas 1
1.1 Random Variables, Real and Complex 1
1.1.1 Definitions 2
1.1.2 Operations 4
1.1.3 Normal Random Variables 6
1.1.4 The Arc Sine Law 8
1.2 Stochastic Processes 9
1.2.1 Stationarity 10
1.2.2 Correlation and Power 11
1.2.3 Jointly Normal Processes 14
1.2.4 Spectral Densities 17
1.2.5 Linear Systems 19
1.2.6 Time Averaging or Integration 20
1.3 Analytic Signals 23
1.3.1 Hilbert Transform and Quadrature Filter 23
1.3.2 Complex Envelope 25
1.3.3 Correlation and Spectra 26
1.4 Phasors of Random Signals 28
1.4.1 Concept 29
1.4.2 Power and Cross-correlation 30
1.4.3 Linear Systems 31
1.5 Microwave Networks 32
1.5.1 Voltage and Current 32
1.5.2 Normalized Voltage Waves 34
1.5.3 Available Power 35
1.5.4 S-parameters and Power Gains 36
1.5.5 Noise Waves and Temperature 38
1.5.6 Interconnection 40
1.5.7 Two-port Networks 42
1.5.8 Cascade 45
1.5.9 High Gain Receiver 46
1.5.10 The Bosma Theorem 48
1.6 Antennas 50
1.6.1 Radiated Electric Field and Power Density 50
1.6.2 Antenna Pattern and Directivity 51
1.6.3 Antenna Polarization 53
1.6.4 Thermal Noise Radiation 56
1.6.5 Received Signal 57
1.6.6 Phase Center 59
1.6.7 Polarization Misalignment 60
1.6.8 Transmission Link 61
1.6.9 Reciprocity 62
1.6.10 Other Definitions 64
1.6.11 Antenna Loss 65
References 66
2 Microwave Radiometry 69
2.1 Thermal Emission 69
2.1.1 Emissivity and Brightness Temperature 70
2.1.2 Planck and Rayleigh-Jeans Laws 73
2.2 Polarization 74
2.2.1 Stokes Parameters and Polarimetric Brightness Temperature 74
2.2.2 Change of Polarization Frame 76
2.2.3 Linear Axis Rotation 77
2.2.4 Horizontal and Vertical Polarization 78
2.2.5 Circular Polarization 80
2.3 Antenna Temperature 81
2.3.1 Concept 81
2.3.2 Flat Target 83
2.3.3 Point Source 84
2.3.4 Extended Source 85
2.3.5 Angular Resolution 85
2.4 Total Power Radiometers 86
2.4.1 Received Signal 87
2.4.2 Power Measurement and Sensitivity 90
2.4.3 Square Law Device 94
2.4.4 Quadratic Detector 97
References 100
3 Interferometry and Polarimetry 101
3.1 Historical Perspective 101
3.1.1 The Proposed Formulation 105
3.2 A Single Baseline 106
3.2.1 Visibility 106
3.2.2 Single Polarization 109
3.2.3 Polarimetric Radiometry: Ideal Case 110
3.2.4 Full Polarimetric Case 111
3.2.5 Receivers Interaction 114
3.2.6 The "-T r " Term 119
3.3 The Visibility Equation 120
3.3.1 Complex Correlation 121
3.3.2 The Fringe Washing Function 123
3.3.3 Director Cosines 125
3.3.4 Fourier Relation 127
3.4 Correlation Measurement 127
3.4.1 Sensitivity 128
3.4.2 Four Signal Multipliers 131
3.4.3 Two Signal Multipliers 133
3.4.4 Analog Multipliers 137
3.4.5 Signal Clipping and Normalized Correlation 139
References 146
4 Aperture Synthesis 149
4.1 Synthetic Beam 150
4.1.1 Hexagonal Sampling 153
4.2 Radiometric Sensitivity 155
4.2.1 Variance of the Modified Brightness Temperature 155
4.2.2 Uncorrelated Visibility Samples 157
4.2.3 Correlation of Visibility Samples 159
4.3 Spatial Sampling 163
4.3.1 Visibility Coverage 163
4.3.2 Reciprocal Grids 164
4.3.3 Aliasing 166
4.3.4 Field of View 168
4.3.5 Hexagonal Grids: Y-shape Instrument 168
4.3.6 Hexagonal Instrument 171
4.4 Imaging 175
4.4.1 System of Equations 175
4.4.2 Conjugate Extension and Redundant Baselines Averaging 178
4.4.3 Fourier Image Reconstruction 179
4.4.4 G-matrix Image Reconstruction 181
4.4.5 Polarimetric Retrieval: Ideal Case 184
4.4.6 Full Polarimetric Case 184
4.4.7 Spatial Frequency Components 186
4.4.8 Reconstruction Error and Alias Mitigation 189
References 191
5 Instrument Techniques 193
5.1 Frequency Conversion 193
5.1.1 Frequency Bands 193
5.1.2 Mixer Operation 195
5.1.3 Image Rejection Mixer 196
5.2 In-phase and Quadrature (IQ) Mixer 197
5.2.1 Concept 197
5.2.2 General Analysis 198
5.2.3 Quadrature Error 200
5.2.4 Correction of Phase Errors 201
5.2.5 Normalized Correlations 202
5.3 Quarter Period Delay 203
5.3.1 Concept 203
5.3.2 Center Frequency Error 205
5.3.3 Normalized Correlations 206
5.4 Digital Techniques 207
5.4.1 Sampling 207
5.4.2 Impact on Measurement Uncertainty 215
5.4.3 Low-frequency Spectrum 217
5.4.4 Spectrum with High-frequency Content 221
5.4.5 I/Q Alternate Sampling 225
5.4.6 Nyquist Zones 227
5.4.7 Correlation in the Frequency Domain 231
References 235
6 Calibration and Characterization 237
6.1 Calibration Standards 237
6.1.1 Antenna and Calibration Planes 238
6.1.2 Plane Change in Total Power Radiometers 240
6.1.3 External Passive Targets 243
6.1.4 Probe Antenna 245
6.1.5 Internal Load 247
6.1.6 Noise Distribution 248
6.2 Parameter Retrieval 250
6.2.1 Correlator Gain 251
6.2.2 Inter-element Phase and Amplitude 253
6.2.3 Correlator Offset 255
6.2.4 Flat Target Response 257
6.2.5 Fringe Washing Function Shape 259
6.2.6 Receiver Gain and Offset 261
6.2.7 Instrumental Offset 263
6.3 Nonlinearity 265
6.3.1 Deflection Ratio 266
6.3.2 Impact on Instrumental Offset 267
6.4 Calibration Rate 268
6.4.1 Averaging and Interpolation 268
6.4.2 Temperature Correction 269
References 270
A Definitions and Concepts 273
A. 1 Complex Vectors 273
A. 2 Useful Complex Number Identities 274
A. 3 Energy Conservation and Unitary Matrix 274
A. 4 Spherical Coordinates and Solid Angle 275
A.4. 1 Differential Surface 275
A.4. 2 Solid Angle 275
A. 5 Quadrature Equation Inversion 276
A. 6 Special Functions 277
A. 7 Fourier Transform 278
A.7. 1 Convolution 278
A.7. 2 Properties 279
A.7. 3 Transform Pairs 279
A.7. 4 Real Signals 279
A.7. 5 Two-dimensional Fourier Transform 280
A. 8 Discrete Fourier Transform 281
A.8. 1 Correlation in Time and in Frequency 283
A.8. 2 Random Signals 283
A.8. 3 Two-dimensional Case 284
Reference 284
Index 285
To my knowledge, this is the first book ever published dedicated to the topic of aperture synthesis (or interferometry) for the remote sensing of the Earth. Much of its contents can, however, be applied to other types of microwave radiometers and applications. The author, Prof. Ignasi Corbella of the Polytechnic University of Catalunya (UPC), Barcelona (Spain), is, in my humble opinion, the engineer, among all I know, who best understands aperture synthesis for Earth Observation, a field that started in the 1980s. Readers of this book will have the privilege to learn directly from him.
In fact, I started learning microwave theory having Ignasi as teacher at UPC back in 1983, and he was also the supervisor of my master's thesis in 1986, and of my PhD in 1996. Therefore, it is an honor to write this foreword to his book some 41 years after I attended his lessons at UPC. From 1993 till 1999, he was involved in several studies and experiments to develop the Microwave Imaging Radiometer with Aperture Synthesis (MIRAS) within contracts with the European Space Agency (ESA) I was responsible for. Since 2000 till today, Prof. Corbella has been part of the team supporting, in many aspects, ESA's Soil Moisture and Ocean Salinity (SMOS) mission, which carries MIRAS as its only payload. It is the SMOS mission, in which I am involved from ESA side, which has allowed us to enjoy this very long professional link and friendship.
The development of MIRAS is a story truly worth telling. It all started with the work of David LeVine (NASA-GSFC) and Carl Swift (University of Massachusetts at Amherst) in the late 1980s on the Electronically Scanning Thinned-Array Radiometer (ESTAR). ESTAR was a one-dimensional interferometer presenting a new technological solution to deploy a very large L-band antenna in space, to make observations in the 1400-1427 MHz protected band, to provide global maps of soil moisture and ocean salinity. Inspired by this research, and following some work carried out by the French Space Agency (CNES), in 1992, ESA decided to initiate the development of a two-dimensional interferometer: MIRAS.
During the first 10 years of MIRAS, Prof. Corbella was involved in the theoretical aspects, the calibration, and the image processing of the instrument. In principle, although aperture synthesis had never been applied to remote sensing, it was a matter of translating the knowledge accumulated in radio-astronomy to the field of Earth Observation. Given this, we were all quite confident that the new type of radiometer should work very finely.
Radio-astronomy was (and is) based on a theorem that was first formulated by the Dutch physicist Pieter Hendrik van Cittert in 1934, and four years later proved in a simpler way by another Dutch physicist, Frits Zernike. Zernike was a prominent scientist who was awarded the Nobel Prize in 1953 for having invented the Phase-Contrast Microscope. The so-called Van Cittert-Zernike theorem, or in short, the VCZ theorem, was the theoretical basis of radio-astronomy, and in turn, of ESA's initiative to embark on two-dimensional aperture synthesis for remote sensing.
Nobody would have anticipated that such solid theoretical grounds were going to be shaken by the development of MIRAS, to the point of proving them completely inadequate for the application of interferometry to Earth Observation.
Based on the so-far successful breadboarding of MIRAS subsystems and the scientific need to monitor soil moisture and ocean salinity, ESA's Earth Science Advisory Committee recommended the implementation of the SMOS mission on April 27, 1999, as second Earth Explorer Opportunity Mission.
By 2002, the breadboarding activities (MIRAS Demonstrator Pilot Project - MDPP) were running in parallel with the Phase B of the SMOS project. The prototype built within the MDPP consisted of three linear arrays of four receivers each which could be mechanically moved along three horizontal tracks 120° equi-spaced from each other. The MDPP also included the optical harness, the correlator, and the internal calibration subsystems.
In December 2002, the MDPP demonstrator was brought inside the Electro Magnetic Compatibility (EMC) chamber of INTA (Instituto Nacional de Técnica Aeroespacial, Madrid) for the very first end-to-end test. The imaging algorithm, based on the VCZ theorem, was predicting high correlation values due to the high emissivity of the microwave absorber material (at room temperature) of the walls of the EMC chamber. To our surprise, the correlations were two orders of magnitude (!) smaller than those predicted by the VCZ theorem. After carefully assessing the breadboard, and realizing that the hardware was working well, we had to accept that the value of the correlations was real. As mentioned, SMOS was already in Phase B .
The UPC team, led by Prof. Corbella, was responsible for processing the data from the INTA test. Therefore, we all packed the hardware and went on Christmas Holidays with the heavy weight of the insignificant correlation values on our shoulders.
It was during the Christmas of 2022 that Ignasi set himself into resolving the mystery. He found a paper on noise waves and passive linear multiports of 1991 which gave the expression of the correlation of the outgoing noise waves of a passive microwave circuit. Such problem resembled the configuration of the MDPP breadboard inside the EMC chamber. The article referred to a theorem stated by a Dutch engineer, Hendrik Bosma, in his PhD thesis of 1967. According to Bosma's theorem, the correlation of the noise waves coming out of a passive microwave circuit in thermal equilibrium with its terminations, as the MDPP breadboard inside the EMC chamber, had to null.
Based on these findings, Prof. Corbella carefully reformulated the basic measurement of interferometry, the correlation between the output signals of two receivers forming a baseline, considering the presence of the neighboring receivers as well as the physical temperature of the receivers and the target. By February 2003, he had come with a new equation, more general than the CVZ theorem, which could explain the correlations in the INTA chamber as well as those measured by radio-telescopes (for large antennas and spacings, in wavelength units, the new formulation reduced to the CVZ theorem). Later the same year, Prof. Corbella had derived the polarimetric version of his equation. The new equation, which I very deservedly coined as the Corbella Equation, was first published in TGARS, August 2004.
The fact that the VCZ theorem could not explain all interferometric experiments, like the test of the MDPP breadboard in the EMC chamber (by two orders of magnitude), was further evidenced when the opposite test was carried out: the imaging of the Cold Sky at the Dwingeloo radio-observatory facility in The Netherlands. In the Dwingeloo experiment, four receivers were manually moved along three arms to get an image of the Cold Sky. While the VCZ theorem was predicting now very low correlations based on the low brightness temperature of the Cosmic Microwave Background Radiation (CMBR), around 2.7 K, the expected values according to the Corbella equation were two orders of magnitude larger in this case. The measurements were perfectly in accordance with Corbella's predictions and, once again, about two orders of magnitude away from the VCZ theorem-predicted values.
The Corbella Equation was then adopted to process the data of the SMOS mission instead of the VCZ theorem. The calibration approach had to be adapted, and, fortunately, the Flat Target Response of the instrument could be obtained by using the CMBR and the subsequent Flat Target Transformation could be devised to remove the -Tr term Corbella had introduced into the VCZ equation. With the data processing and calibration following his equation, Ignasi had brought the SMOS project back on track half way through Phase B.
It is worth noting that it took some time for some engineers to accept and understand the profound implications of the "Corbella Equation." After all, the VCZ theorem, established by renowned (Nobel Prize awarded) scientists, had been working perfectly well in radio-astronomy for decades. It was only a matter of making new experiments in new conditions (as taking the MDDP breadboard inside the INTA EMC chamber), realizing of other scientists' research (as Bosma's PhD thesis), and having a clear and humble mind to put the pieces of the puzzle together. This ultimately culminated in a scenario where David beat Goliath with a new more general formulation of aperture synthesis.
This book starts with a tedious Chapter 1 on probability concepts and stochastic processes, Hilbert transform, and analytic signals. However, the usefulness of its contents will be much appreciated throughout the rest of the book, as they will be frequently called upon to make progress in the formulation of the different flavors of interferometers.
Chapter 2 introduces the basic concepts of radiometry. Prof. Corbella has made an effort to explain interferometry and all its equations in a way that collapses to the case of a conventional total power radiometer. In this respect, it makes interferometry easier to digest for engineers knowledgeable in conventional radiometry.
The Corbella Equation is derived in Chapter 3. This chapter can be considered central and including the nucleus of the aperture synthesis theory applied to remote sensing. An engineer confronted with the design of this type of radiometers should absorb these contents thoroughly. This chapter introduces also...
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