Explores advanced tracking, sensor management, and distributed fusion for modern engineering applications
Advances in statistical signal processing, sensor networks, and control theory have created a need for a unified resource on nonlinear filtering, multitarget tracking, sensor management, and distributed fusion. Advanced Techniques in Tracking and Sensor Management: Theory and Applications offers an overview of the algorithms, frameworks, and applications shaping tracking and sensor research.
Drawing on four decades of research, the book is organized into four parts covering nonlinear filtering, multi-sensor and multitarget tracking, sensor management, and distributed fusion. Topics include particle filtering for constrained systems, random finite set–based multitarget tracking, scheduling and resource allocation, and consensus-based fusion. The book combines theory with applications in radar, surveillance, space situational awareness, and autonomous navigation. Chapters by international experts make complex concepts accessible to engineers, scientists, and graduate students.
Both a graduate-level textbook and a practitioner reference for defense, aerospace, and autonomous systems, this book:
- Features algorithms for space object tracking, debris detection, and SLAM using finite set statistics
- Covers Bayesian filtering and multitarget estimation in cluttered, uncertain environments
- Introduces approaches to satellite scheduling and power allocation for MIMO radar systems
- Explores distributed state estimation and multi-object density fusion across sensor networks
This book is essential reading for graduate courses in statistical signal processing, target tracking, and sensor management in electrical and computer engineering. It is also a valuable resource for engineers and researchers in aerospace, defense, autonomous systems, and surveillance.
Table of Contents:
List of Contributors xxv
About the Editors xxxi
Notes on Contributors xxxiii
Preface xli
Acknowledgments xlv
Part I Nonlinear Filtering 1
1 3D Tracking of an Aircraft Using Air Traffic Control 2D Radars 3
Mahendra Mallick, Linfeng Xu, Xiaoqing Tian, and Jifeng Ru
2 Reentry Vehicle Filtering Using Radar and Passive Angle-only Sensors 37
Mahendra Mallick, Xiaoqing Tian, and Linfeng Xu
3 Radar Tracking with Bias Estimation 67
Ehsan Taghavi, Ratnasingham Tharmarasa, and Thiagalingam Kirubarajan
4 Exact IMM Estimation of Markov Switching Diffusions with Hybrid Jumps 93
Henk A.P. Blom
5 Joint Target Tracking and Intent Inference Usinga Destination-constrained Model 121
Linfeng Xu, Peijie Yang, and Mahendra Mallick
6 Tracking Filter with Implicit Constraints 151
Keyi Li and Gongjian Zhou
7 Particle Filter Convergence: Various Notes 183
Yvo Boers and Pranab K. Mandal
8 Posterior Cramér–Rao Bounds in Cluttered Environments with Measurement Origin and Accuracy Uncertainties 209
Marcel Hernandez and Alfonso Farina
9 Tensor Decomposition in Point-mass Filters 245
Ondrej Straka, Jakub Matousek, Ivo Puncochar, and Jindrich Dunik
Part II Multitarget Tracking 267
10 Bayesian Multitarget Tracking via Labeled Random Finite Set 269
B.-N. Vo, B.-T. Vo, T.T.D. Nguyen, C.Shim, and H.V.Nguyen
11 Bayesian Track-before-detect for Maritime Radar 311
Du Yong Kim, Branko Ristic, and Luke Rosenberg
12 Moving Target Tracking Using ViSAR Imagery 345
Xiaoqing Tian, Jing Liu, and Mahendra Mallick
13 Space Object Tracking 377
Brandon A. Jones and Benjamin L. Reifler
14 Generalized Bernoulli Filters for Challenging Sensing Conditions 409
Ronald Mahler
15 Space Surveillance via Poisson Labeled Multi-Bernoulli Tracking 439
Martin Adams, Leonardo Cament, and Javier Correa
16 Extended and Group Target Modeling and Estimation 471
Weifeng Liu, Yun Zhu, and Xiaomeng Cao
17 Random Finite Sets Meet Simultaneous Localization and Mapping 495
Martin Adams, Felipe Inostroza, and Keith Leung
Part III Distributed Fusion 531
18 Centralized and Distributed Multiple-hypothesis Tracking 533
Stefano Coraluppi
19 Distributed State Estimation on Sensor Networks 557
Giorgio Battistelli, Luigi Chisci, and Nicola Forti
20 Fusion of Multiobject Densities 589
Giorgio Battistelli, Luigi Chisci, Lin Gao, Amirali K.Gostar, and Reza Hoseinnezhad
Part IV Sensor Management 619
21 Agileand Non-agile Multi-satellite Scheduling 621
Ratnasingham Tharmarasa, Abhijit Chatterjee, and Aranee Balachandran
22 Sensor Control for Multi-target Tracking: A Review 653
Amirali K. Gostar, Aidan Blair, Branko Ristic, and Reza Hoseinnezhad
23 Optimal Sensor Placement for AOA Localization and Tracking 689
Kutluyil Dogancay and HatemHmam
24 Robust Power Allocation for Multitarget Tracking in Colocated MIMO Radars With Minimized Resource Consumption 721
Ye Yuan, Wei Yi, Reza Hoseinnezhad, and Pramod K. Varshney
25 Multiple Radar Resource Allocation for Multitarget Tracking 749
Wenqiang Pu, Junkun Yan, Peng Zhang, Hao Jiao, and Hongwei Liu
References 771
Index 777
About the Author :
Mahendra Mallick, PhD, is an international expert in filtering, multitarget tracking, and data fusion. A Life Senior Member of the IEEE, he served as an Associate Editor for IEEE Transactions on Aerospace and Electronic Systems and co-edited Integrated Tracking, Classification, and Sensor Management: Theory and Applications.
Ba-Ngu Vo, PhD, is a Professor and Signals & Systems Chair at Curtin University, Australia. He is a Fellow of the IEEE. He was an Associate Editor for IEEE Transactions on Aerospace and Electronic Systems and and IEEE Transactions on Signal Processing. He is currently a Senior Area Editor of IEEE Transactions on Signal Processing. He co-edited Integrated Tracking, Classification, and Sensor Management: Theory and Applications.
Ratnasingham Tharmarasa, PhD, is an Assistant Professor of Electrical and Computer Engineering at McMaster University, Canada. He serves as an Associate Editor of Signal Processing (Elsevier) and specializes in target tracking, sensor management, and data fusion.
