Foundations and Applications of Sensor Management

  • Alfred O. HeroIII
  • David A. Castañón
  • Douglas Cochran
  • Keith Kastella

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Alfred O. Hero III, David A. Castañón, Douglas Cochran, Keith Kastella
    Pages 1-5
  3. David A. Castañón, Lawrence Carin
    Pages 7-32
  4. Alfred O. Hero III, Christopher M. Kreucher, Doron Blatt
    Pages 33-57
  5. Christopher M. Kreucher, Mark Morelande, Keith Kastella, Alfred O. Hero III
    Pages 59-93
  6. Edwin K.P. Chong, Christopher M. Kreucher, Alfred O. Hero III
    Pages 95-119
  7. Aditya Mahajan, Demosthenis Teneketzis
    Pages 121-151
  8. Rui Castro, Robert Nowak
    Pages 177-200
  9. Xuejun Liao, Yan Zhang, Lawrence Carin
    Pages 201-220
  10. William Moran, Sofia Suvorova, Stephen Howard
    Pages 221-256
  11. Stanton H. Musick
    Pages 257-268
  12. Alfred O. Hero, Aditya Mahajan, Demosthenis Teneketzis, Edwin Chong
    Pages 269-281
  13. Back Matter
    Pages 283-308

About this book


Foundations and Applications of Sensor Management presents the emerging theory of sensor management with applications to real-world examples such as landmine detection, adaptive signal and image sampling, multi-target tracking, and radar waveform scheduling. It is written by leading experts in the field for a diverse engineering audience ranging from signal processing, to automatic control, statistics, and machine learning. The level of treatment of the book is tutorial and self-contained.

The chapters of the book follow a logical development from theoretical foundations to approximate approaches and ending with applications. The coverage includes the following topics: stochastic control foundations of sensor management; multi-armed bandits and their connections to sensor management; information-theoretic approaches; managed sensing for multi-target tracking; approximation methods based on embedded simulation; active learning for classification and sampling; and waveform scheduling for radar. An appendix is included to provide essential background on topics the reader may not have encountered as a first-year graduate student: Markov decision processes; information theory; and stopping times.

Foundations and Applications of Sensor Management is an important reference for signal processing and control engineers and researchers as well as machine learning application developers.


Radar Tracking Waveform filter information information theory sensor

Editors and affiliations

  • Alfred O. HeroIII
    • 1
  • David A. Castañón
    • 2
  • Douglas Cochran
    • 3
  • Keith Kastella
    • 4
  1. 1.University of MichiganAnn ArborUSA
  2. 2.Boston UniversityBostonUSA
  3. 3.Arizona State UniversityTempeUSA
  4. 4.General Dynamics Michigan Research and Development CenterYpsilantiUSA

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