| Description |
1 online resource |
| Contents |
Intro; Acknowledgments; Contents; Chapter 1: Introduction; 1.1 Key Assumptions, Analysis Limitations, and Antenna Performance Metrics; 1.2 Plane Waves as Solutions to Maxwellś Equations; 1.3 Fourier Transforms and Plane Waves; 1.4 Organization; Chapter 2: Some Basic Principles of RF Electronic Systems and Antennas; 2.1 Some Basic Principles that Govern Electronic Systems and Aperture Antennas; 2.2 Friis ́Link Margin Equation; 2.3 Friis ́Formula for Noise Factor; Chapter 3: K-Space Gain and Antenna Metrics; 3.1 Relationship Between K- and Angular-Space Gains |
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3.2 DFT Implementation of K-Space Gain3.3 Affine Transformation and Foreshortening Effects; 3.4 Cosine Taper of Element Gain; 3.5 Frequency and Foreshortening Effects on Performance Metrics; 3.6 Peak Gain and EIRP for an ESA; 3.7 Phase-Comparison Monopulse; 3.8 Computing Directivity Directly in K-Space; 3.9 Integrated Sidelobe Level (ISL); 3.9.1 Some Properties of ISL; 3.9.2 ISL of 1-D and 2-D Arrays; Chapter 4: Effect of Sky Noise on Antenna Temperature; 4.1 Introduction; 4.2 Total Antenna Temperature; 4.3 Application to Modern ESAs; Chapter 5: Sidelobe Control and Monopulse Weighting |
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5.1 Taylor Weights5.2 Octagonal Shaped ESAs; 5.3 Sidelobe Rotation; 5.3.1 Mathematical Gain of Uniformly Weighted Parallelograms; 5.3.2 Sidelobe Rotation with Parallelograms; 5.4 Bayliss and Other Weighting Schemes for Phase-Comparison Monopulse; Chapter 6: Digital Beamforming and Adaptive Processing; 6.1 One-Dimensional Gain of Uniformly Weighted Array of Arrays; 6.2 Digital Beamforming at Subarray Level; 6.3 Minimum Variance Distortionless Response (MVDR); 6.4 Space-Time Adaptive Processing (STAP); 6.5 Equivalence of Idealized STAP and MVDR |
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6.6 Examples of Digital Beamforming and Adaptive Processing on 32 x 32 ESAs6.6.1 Variation with Number of Jammers and Distance of Jammers from Signal; 6.6.2 Angle of Arrival of Signal; 6.6.3 Number of Adaptive Subarrays; 6.6.4 Summary; Appendix 1: Far-Field Demarcation; Appendix 2: Discrete Fourier Transforms; A2.1 ̀̀Derivation of DFT;́́ A2.2 Nyquist Sampling, Power Spectral Densities, and Negative Frequencies; A2.3 Parsevalś Theorem with Discrete Signals; A2.4 Example of Zero Padding; Appendix 3: Antenna Pointing with Direction Cosine Matrices; A3.1 Pointing; A3.2 Direction Cosine Matrices |
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Appendix 4: Translation of Position and Attitude Errors into Pointing Direction ErrorsA4.1 First-Order Error Analysis for ECEF Positions; A4.2 Simple Example; Appendix 5: Loss of ESA Gain by Noise Correlation or Signal Decorrelation; A5.1 Correlated Noise; A5.2 Decorrelated Signal; References; Index |
| Summary |
This book fills in details that are often left out of modern books on the theory of antennas. The starting point is a discussion of some general principles that apply to all electronic systems and to antennas in particular. Just as time domain functions can be expanded in terms of sine waves using Fourier transforms, spatial domain functions can be expanded in terms of plane waves also using Fourier transforms, and K-space gain is the spatial Fourier transform of the aperture weighting function. Other topics discussed include the Discrete Fourier Transform (DFT) formulation of antenna gain and what is missing in this formulation, the effect of sky temperature on the often specified G/T ratio of antennas, sidelobe control using conventional and novel techniques, and ESA digital beamforming versus adaptive processing to limit interference. Presents content the author derived when first asked to evaluate the performance of an electronically scanned array under design with manufacturing imperfections and design limitations; Enables readers to understand the firm theoretical foundation of antenna gain even when they must start from well-known formulations rather than first principles; Explains in a straightforward manner the relationship between antenna gain and aperture area; Discusses the relationship between sidelobe control algorithms and aperture shape, how to take advantage of it, and what the penalties are; Shows the equivalence of Minimum-Variance, Distortionless Response (MVDR) and Space-Time Adaptive Processing (STAP) and how these algorithms can be used with ESA subarrays to mitigate interference |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed February 19, 2019) |
| Subject |
Antenna arrays -- Mathematical models
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Antenna radiation patterns -- Mathematical models
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Antennas (Electronics)
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TECHNOLOGY & ENGINEERING -- Mechanical.
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Antenna arrays -- Mathematical models
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Antenna radiation patterns -- Mathematical models
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Antennas (Electronics)
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| Form |
Electronic book
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| ISBN |
9783030046781 |
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3030046788 |
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9783030046798 |
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3030046796 |
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