Conventional synthetic aperture radar (SAR) offers high-resolution imaging of a target region in the range and cross-range dimensions along the ground plane. Little or no data are available in the range-altitude dimension, however, and target functions and models are limited to two-dimensional images. This thesis first investigates some existing methods for the computation of target reflectivity data in the deficient elevation domain, and a new method is then proposed for three-dimensional (3-D) SAR target feature extraction. Simulations are implemented to test the decoupled least-squares technique for high-resolution spectral estimation of target reflectivity, and the accuracy of the technique is assessed. The technique is shown to be sufficiently accurate at resolving targets in the third axis, but is limited in practicality due to restrictive requirements on the input data. An attempt is then made to overcome some of the practical limitations inherent in the current 3-D SAR methods by proposing a new technique based on the direct extraction of 3-D target features from arbitrary SAR image inputs. The radar shadow present in SAR images of MSTAR vehicle targets is extracted and used in conjunction with the radar beam depression angle to compute physical target heights along the range axis. Multiple inputs of elevation data are then merged to forge rough 3-D target models.

Inverse Synthetic Aperture Radar (ISAR) provides full-range detection and classification of sea-based and air-based targets through two-dimensional range-Doppler imaging. The Naval Postgraduate School (NPS) has developed a custom integrated circuit that can simulate false ISAR images in order to fool enemy ISAR platforms. To validate specific hardware choices within this design, this thesis explores the effect on image quality of an overflow occurring within the final 16-bit summation adder of this circuit, Three solutions to the problem of overflows are presented and analyzed. The logical extension of ISAR development, that of three-dimensional target imaging, is next presented through the discussion of 3D monopulse radar, 3D interferometer ISAR, and a 3D, three- receiver ISAR. The relative strengths of each approach are compared, along with both MATLAB and Extensible 3D (X3D) Graphics software models created for one specific 3D ISAR implementation. Through the superposition of 2D ISAR images it is shown how 3D ISAR images may be created. Moreover, emphasis is placed on using this knowledge to both enhance current 2D ISAR techniques and to modify the false-target chip design to handle 3D ISAR return signals. The thesis concludes with a study of Non-Uniform Rational 13-Splines, through which the X3D software model was created.

Synthetic aperture radar (SAR) is a well-known remote sensing technique, but conventional single-antenna SAR is inherently limited by the minimum antenna area constraint. Although there are still technical issues to overcome, multi-antenna SAR offers many benefits, from improved system gain to increased degrees-of-freedom and system flexibility. Multi-Antenna Synthetic Aperture Radar explores the potential and challenges of using multi-antenna SAR in microwave remote sensing applications. These applications include high-resolution imaging, wide-swath remote sensing, ground moving target indication, and 3-D imaging. The book pays particular attention to the signal processing aspects of various multi-antenna SAR from a top-level system perspective. Explore Recent Extensions of Synthetic Aperture Radar Systems The backbone of the book is a series of innovative microwave remote sensing approaches developed by the author. Centered around multi-antenna SAR imaging, these approaches address specific challenges and potential problems in future microwave remote sensing. Chapters examine single-input multiple-output (SIMO) multi-antenna SAR, including azimuth and elevation multi-antenna SAR, and multiple-input multiple-output (MIMO) SAR. The book details the corresponding system scheme, signal models, time/phase/spatial synchronization methods, and high-precision imaging algorithms. It also investigates their potential applications. Introductory Tutorials and Novel Approaches in Multi-Antenna SAR Imaging Rigorous and self-contained, this is a unique reference for researchers and industry professionals working with microwave remote sensing, SAR imaging, and radar signal processing. In addition to novel approaches, the book also presents tutorials that serve as an introduction to multi-antenna SAR imaging for those who are new to the field.

"Both commercial and military industries incorporate the use of Ground Penetrating Radar (GPR). In the case of the military, a stationary object, such as a bunker or tunnel, can be detected. Even high-resolution, three-dimensional (3D) and twodimensional (2D) imagery of energy reflected by the target and its surrounding environment can be produced. This is accomplished using multiple scene perspectives inherent in advanced Synthetic Aperture Radar (SAR) techniques. Although underground target detection can be successful, the return data, usually suffers a significant degree of signal degradation due to the ground medium and target composition. A valid theoretical target model must account for adverse affects such as specular and diffuse reflections, dispersion and attenuation in order to provide an accurate representation of the simulated GPR scenario. It is the aim of this thesis to demonstrate the benefits of a high fidelity GPR target model. Demonstrated in the model is the ability to record estimative return power as a function of multiple variables including frequency, target depth, target composition, ground medium, complex antenna patterns, and transmitted power. Using ray-tracing, a bidirectional reflectance distribution function (BRDF), and 3D geometric analysis, the specular and diffuse reflective and refractive sub-surface energy interactions known to take place for a spatially complex target are simulated. Results culminate in the comparison of 3D and 2D imagery generated using this target model with imagery generated using previous models"--Abstract.

"This thesis describes a ray-tracing simulator, which was created to work in conjunction with the Rome Labs GPR system. The ray-tracing simulation models the transmissions and reflections from faceted target models using Snell's law and the Law of Reflection. The results obtained demonstrate the effects that different scene orientations have upon the images generated by the Rome Labs system."--Abstract.

Computer-Aided Design and system analysis aim to find mathematical models that allow emulating the behaviour of components and facilities. The high competitiveness in industry, the little time available for product development and the high cost in terms of time and money of producing the initial prototypes means that the computer-aided design and analysis of products are taking on major importance. On the other hand, in most areas of engineering the components of a system are interconnected and belong to different domains of physics (mechanics, electrics, hydraulics, thermal...). When developing a complete multidisciplinary system, it needs to integrate a design procedure to ensure that it will be successfully achieved. Engineering systems require an analysis of their dynamic behaviour (evolution over time or path of their different variables). The purpose of modelling and simulating dynamic systems is to generate a set of algebraic and differential equations or a mathematical model. In order to perform rapid product optimisation iterations, the models must be formulated and evaluated in the most efficient way. Automated environments contribute to this. One of the pioneers of simulation technology in medicine defines simulation as a technique, not a technology, that replaces real experiences with guided experiences reproducing important aspects of the real world in a fully interactive fashion [iii]. In the following chapters the reader will be introduced to the world of simulation in topics of current interest such as medicine, military purposes and their use in industry for diverse applications that range from the use of networks to combining thermal, chemical or electrical aspects, among others. We hope that after reading the different sections of this book we will have succeeded in bringing across what the scientific community is doing in the field of simulation and that it will be to your interest and liking. Lastly, we would like to thank all the authors for their excellent contributions in the different areas of simulation.