Recent Books Authored/Edited by Lincoln Laboratory Technical Staff

Perspectives in Space Surveillance

(MIT Lincoln Laboratory Series)

Ramaswamy Sridharan and Antonio F. Pensa, with Richard I. Abbot, E.M. Gaposchkin, Israel Kupiec, Richard Lambour, Eugene Rork, Jayant Sharma, Craig Solodyna, Joseph Scott Stuart, and George Zollinger. Cambridge, Mass.: MIT Press, 2017.

Perspectives in Space Surveillance provides an overview of R&D Lincoln Laboratory began in the 1970s to enable the detection and tracking of the growing array of man-made resident space objects (RSOs) in deep space.

The authors of Perspectives in Space Surveillance are all key participants in efforts to develop space surveillance technologies that allow the nation to detect, observe, and catalog RSOs.

Hyperspectral Imaging Remote Sensing

Dimitris G. Manolakis, Ronald B. Lockwood, and Thomas W. Cooley. Cambridge, U.K.: Cambridge University Press, 2016.

Hyperspectral Imaging Remote Sensing is a practical, self-contained guide to the principles, techniques, models, and tools used in imaging spectroscopy. The book brings together material from physics and digital signal processing to explain key topics, such as sensor design and calibration, atmospheric inversion and model techniques, and processing and exploitation algorithms.


Applied State Estimation and Association

(MIT Lincoln Laboratory Series)

Chaw-Bing Chang and Keh-Ping Dunn. Cambridge, Mass.: MIT Press, 2016.

Applied State Estimation and Association is a comprehensive text on the theory and application of state estimation and association. Practicing engineers in aerospace, electronics, and defense industries will find the book a valuable reference to inform work in signal processing, tracking, and navigation. The book can also be used in a first-year graduate course in control systems engineering. Each chapter ends with problems that will help students develop skills that can be applied to new problems and that can be employed to build computer models for problem solving.


Decision Making Under Uncertainty
(MIT Lincoln Laboratory Series)

Mykel J. Kochenderfer, with Christopher Amato, Girish Chowdhary, Jonathan P. How, Hayley J. Davison Reynolds, Jason R. Thornton, Pedro A. Torres-Carrasquillo,
N. Kemal Üre, and John Vian. Cambridge, Mass.: MIT Press, 2015.

Decision Making Under Uncertainty is an introduction to the development of automated decision support systems. These systems provide quantitatively determined recommendations to decision makers weighing solutions to problems, such as wildfire responses or aircraft collision avoidance, that are complicated by imperfect data and uncertain outcomes. The first part of the book familiarizes readers with the foundations of probabilistic models and decision theory. In the later chapters, authors from a cross section of fields, including informatics, speech recognition, and air traffic control, discuss how the models and theory were applied to real-world challenges.


Perspectives on Defense Systems Analysis: The What, the Why, and the Who, But Mostly the How of Broad Defense Systems Analysis

(MIT Lincoln Laboratory Series)

William P. Delaney, with Robert G. Atkins, Alan D. Bernard, Don M. Boroson,
David J. Ebel, Aryeh Feder, Jack G. Fleischman, Michael P. Shatz, Robert Stein, and Stephen D. Weiner. Cambridge, Mass.: MIT Press, 2015.

In Perspectives on Defense Systems Analysis, the authors share their accounts of experiences leading or participating in dozens of studies analyzing defense systems for the U.S. government. Through these experts' narratives of varied systems analysis initiatives, a description emerges of an overarching process for examining complex scientific, engineering, and technological problems. The critical stages of this process defining problems, understanding the scientific principles and the nonscientific issues involved, and framing and assessing possible solutions—are a road map for newcomers to systems analysis.

Ultrawideband Phased Array Antenna Technology for Sensing and
Communications Systems

(MIT Lincoln Laboratory Series)

Alan J. Fenn and Peter T. Hurst. Cambridge, Mass.: MIT Press, 2015.

Ultrawideband Phased Array Antenna Technology for Sensing and Communications Systems is a timely resource both for practicing antenna, radar, and communications engineers and for graduate students and researchers in electrical engineering. As members of the technical staff at Lincoln Laboratory, the authors, Alan Fenn and Peter Hurst, are engaged in the research and development of innovative antennas for ultrawideband applications. They begin their textbook with a review of the fundamentals of electromagnetic theory, antennas, and phased arrays. This background is then applied to the design of practical ultrawideband antenna arrays, using illustrative examples of arrays that enable ground-based and airborne sensing and communications systems.

Tactical and Strategic Guidance
(Progress in Astronautics and Aeronautics Series)

Paul Zarchan, MIT Lincoln Laboratory, and Timothy C. Lieuwen, ed., Georgia Institute of Technology. Reston, Va.: American Institute of Aeronautics and Astronautics, 2012.

Tactical and Strategic Missile Guidance provides guidance engineers with a foundation for meeting new challenges. Proven guidance methods are presented from several points of view. The sixth edition includes six new chapters on topics related to improving missile guidance system performance and understanding key design concepts and trade-offs. For example, two new applications of the method of adjoints for mixed continuous-discrete systems are presented. The author also offers a new guidance law for shaping the interceptor trajectory against a stationary target, and explores practical techniques for achieving the minimum possible miss distance. In addition, the FORTRAN source code used in previous editions has been converted into the widely used MATLAB© programming language. Tactical and Strategic Missile Guidance is an important resource for both experts and novices.

Applied Digital Signal Processing: Theory and Practice
Dimitris G. Manolakis and Vinay K. Ingle. New York: Cambridge University Press, 2011.

Applied Digital Signal Processing was developed as a textbook for upper-level undergraduate and first-year graduate students in electrical engineering and computer science. This introduction to the basic concepts and methodologies of digital signal processing (DSP) leads students through the fundamental mathematical principles underlying signal processing. Chapters include worked examples, problems, and computer experiments to help students comprehend DSP principles. The mathematical complexity of the material is geared to readers with an undergraduate-level background in calculus, complex numbers and variables, and linear algebra. The book supplements the discussion of DSP theory with examples of practical implementation and presents the limitations of digital signal processing.

Graph Algorithms in the Language of Linear Algebra
Jeremy Kepner and John Gilbert, editors. Philadelphia: SIAM Press, 2011.

Graphs are among the most important abstract data types in computer science, and the algorithms that operate on them are critical to modern life. Graphs have been shown to be powerful tools for modeling complex problems because of their simplicity and generality. Graph algorithms are one of the pillars of mathematics, informing research in diverse areas. Algorithms on graphs are applied in many ways, from web rankings to metabolic networks, from finite element meshes to semantic graphs.

The current exponential growth in graph data has forced a shift to parallel computing for executing graph algorithms. Implementing parallel graph algorithms and achieving good parallel performance have proven difficult. Graph Algorithms in the Language of Linear Algebra addresses these challenges by exploiting the well-known duality between a canonical representation of graphs as abstract collections of vertices and edges and a sparse adjacency matrix representation. This linear algebraic approach is widely accessible to scientists and engineers who may not be formally trained in computer science. The authors show how to leverage existing parallel matrix computation techniques and the large amount of software infrastructure that exists for these computations to implement efficient and scalable parallel graph algorithms. The benefits of this approach are reduced algorithmic complexity, ease of implementation, and improved performance.

Neural Networks in Atmospheric Remote Sensing
William J. Blackwell and Frederick W. Chen. Boston: Artech House, 2009.

In the engineering world, a neural network refers to interconnecting artificial neurons that mimic the properties of biological neurons in order to perform sophisticated, intelligent tasks. Neural Networks in Atmospheric Remote Sensing is an authoritative reference that offers a comprehensive discussion of the underpinnings and applications of artificial neural networks and their use in the retrieval of geophysical parameters. The book provides guidance on the development and evaluation of neural network algorithms that process data from hyperspectral sensors. The authors explain how to use neural networks to approximate remote sensing inverse functions with emphasis on model selection, preprocessing, initialization, training, and performance evaluation.

Parallel MATLAB for Multicore and Multinode Computers
Jeremy Kepner. Philadelphia: SIAM Press, 2009.

Parallel MATLAB for Multicore and Multinode Computers is the first book on parallel MATLAB and the first parallel computing book focused on the design, code, debug, and test techniques required to quickly produce well-performing parallel programs.

The book covers parallel algorithms and parallel programming models, and presents a "hands-on" approach with numerous example programs. Wherever possible, the examples are drawn from widely known and well-documented parallel benchmark codes representative of many real applications.

High Performance Embedded Computing Handbook: A Systems Perspective
David R. Martinez, Robert A. Bond, and M. Michael Vai, editors. Boca Raton, Fla.: CRC Press, 2008.

High Performance Embedded Computing Handbook: A Systems Perspective covers the many subsystems and components of complex, high performance embedded computing systems. The book addresses design trade-offs, implementation options, and current techniques. Concepts are reinforced through specific HPEC system examples. This approach provides a valuable learning tool as readers learn about the subject areas through real implementation cases drawn from the work of the editors and authors, all of whom are significant contributors to the field of high performance computing.

Lincoln Laboratory technical staff members who contributed chapters to this book:

James C. Anderson
Thomas G. Macdonald
Robert A. Bond
David R. Martinez
Masahiro Arakawa
Theresa Meuse
Nadya T. Bliss 
Huy T. Nguyen
Robert A. Coury
Albert I. Reuther
Joel I. Goodman
Glenn E. Schrader
Preston A. Jackson
William S. Song
Jeremy Kepner
Kenneth Teitelbaum
Hahn G. Kim 
Brian M. Tyrrell
Helen H. Kim
M. Michael Vai

Adaptive Antennas and Phased Arrays for Radar and Communications
Alan J. Fenn. Boston: Artech House, 2008.

Adaptive Antennas and Phased Arrays for Radar and Communications is an authoritative resource that offers an in-depth description of adaptive array design, emphasizing the RF characteristics, mutual coupling among elements, and field testing methods. It provides proven techniques for challenging projects involving radar, communication systems, and antenna design. The book gives design guidance on specialized types of arrays, using monopole radiating elements, slotted cylinders, and ultrawideband dipoles. In addition, the book presents a focused near-field technique that quantifies the far-field performance of large-aperture radar systems and communication systems.

Breast Cancer Treatment by Focused Microwave Thermotherapy
Alan J. Fenn. Boston: Jones and Bartlett Publishers, 2007.

Breast Cancer Treatment by Focused Microwave Thermotherapy presents an overview of how a unique, wide-field focused microwave thermotherapy (heat treatment) technology, based on adaptive phased array systems, was used in clinical trials for the treatment of small and large breast cancer tumors. 


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