Klappentext A systematic introduction to the theory, development and latest research results of radar data processing technology Presents both classical theory and development methods of radar data processing Provides state-of-the-art research results, including data processing for modern style radars, and tracking performance evaluation theory Includes coverage of performance evaluation, registration algorithm for Radar network, data processing of passive radar, pulse Doppler radar, and phased array radar Has applications for those engaged in information engineering, radar engineering, electronic countermeasures, infrared techniques, sonar techniques, and military command Zusammenfassung A systematic introduction to the theory! development and latest research results of radar data processing technology Presents both classical theory and development methods of radar data processing Provides state-of-the-art research results! including data processing for modern style radars! and tracking performance evaluation theory Includes coverage of performance evaluation! registration algorithm for Radar network! data processing of passive radar! pulse Doppler radar! and phased array radar Has applications for those engaged in information engineering! radar engineering! electronic countermeasures! infrared techniques! sonar techniques! and military command Inhaltsverzeichnis About the Authors xivPreface xvi1 Introduction 11.1 Aim and Significance of Radar Data Processing 11.2 Basic Concepts in Radar Data Processing 21.3 Design Requirements and Main Technical Indexes of Radar Data Processors 91.4 History and Present Situation of Research in Radar Data Processing Technology 121.5 Scope and Outline of the Book 142 Parameter Estimation 202.1 Introduction 202.2 The Concept of Parameter Estimation 202.3 Four Basic Parameter Estimation Techniques 232.4 Properties of Estimators 262.5 Parameter Estimation of Static Vectors 282.6 Summary 333 Linear Filtering Approaches 343.1 Introduction 343.2 Kalman Filter 343.3 Steady-State Kalman Filter 483.4 Summary 524 Nonlinear Filtering Approaches 534.1 Introduction 534.2 Extended Kalman Filter 534.3 Unscented Kalman Filter 584.4 Particle Filter 654.5 Summary 715 Measurement Preprocessing Techniques 725.1 Introduction 725.2 Time Registration 725.3 Space Registration 755.4 Radar Error Calibration Techniques 885.5 Data Compression Techniques 895.6 Summary 936 Track Initiation in Multi-target Tracking 956.1 Introduction 956.2 The Shape and Size of Track Initiation Gates 966.3 Track Initiation Algorithms 1006.4 Comparison and Analysis of Track Initiation Algorithms 1096.5 Discussion of Some Issues in Track Initiation 1166.6 Summary 1177 Maximum Likelihood Class Multi-target Data Association Methods 1187.1 Introduction 1187.2 Track-Splitting Algorithm 1187.3 Joint Maximum Likelihood Algorithm 1237.4 0-1 Integer Programming Algorithm 1267.5 Generalized Correlation Algorithm 1307.6 Summary 1378 Bayesian Multi-target Data Association Approach 1388.1 Introduction 1388.2 Nearest-Neighbor Algorithm 1388.3 Probabilistic Data Association Algorithm 1418.4 Integrated Probabilistic Data Association Algorithm 1528.5 Joint Probabilistic Data Association Algorithm 1548.6 Summary 1679 Tracking Maneuvering Targets 1699.1 Introduction 1699.2 Tracking Algorithm with Maneuver Detection 1709.3 Adaptive Tracking Algorithm 1749.4 Performance Comparison of Maneuvering Target Tracking Algorithms 1899.5 Summary 20110 Group Target Tracking 20310.1 Introduction 20310.2 Basic Methods for Track Initiation of the Group Target 20410.3 The Gray Fine Track Initiation Algorithm for Group Targets 21410.4 Centroid Group Tracking 23310.5 Formation Group Tracking 23810.6 Performance Analysis of Tracking Algorithms for Group Targets 24010.7 Summary 24611 Multi-...

Auteur

Dr You He, Professor and Chancellor of Naval Aeronautical and Astronautical University, China. Dr He received his Ph.D degree in electronic engineering from Tsinghua University, Beijing, P.R. China, in 1997. From Oct. 1991 to Nov. 1992, he was with the Institute of Communication at Technical University of Braunschweig, Germany. He is Fellow Member of the Chinese Institute of Electronic, Executive Director of China aviation society, and Director of the Information Fusion Branch of China Aviation Society. His research interests include detection and estimation theory, multiple target tracking and multisensor information fusion. He has been engaged in target tracking and information fusion research work for 30 years. He has published over two hundred journal papers and three books. In 2013, Dr. He was elected to be a member of Chinese Academy of Engineering. Dr. Jian-Juan Xiu received her Ph.D in Naval Aeronautical and Astronautical University, China, in 2004. Now she is an associate professor of the university. Her research interests include passive location, multiple target tracking and multi-sensor information fusion. Dr. Xin Guan received his Ph.D from Naval Aeronautical and Astronautical University in 2006. She is now a professor and master tutor in Department of Electronics and Communication of the same school. She is major in ECM, radar emitter identification and evidence theory. She has published over 70 papers and two academic monographs.

Contenu

About the Authors xiv Preface xvi 1 Introduction 1 1.1 Aim and Significance of Radar Data Processing 1 1.2 Basic Concepts in Radar Data Processing 2 1.3 Design Requirements and Main Technical Indexes of Radar Data Processors 9 1.4 History and Present Situation of Research in Radar Data Processing Technology 12 1.5 Scope and Outline of the Book 14 2 Parameter Estimation 20 2.1 Introduction 20 2.2 The Concept of Parameter Estimation 20 2.3 Four Basic Parameter Estimation Techniques 23 2.4 Properties of Estimators 26 2.5 Parameter Estimation of Static Vectors 28 2.6 Summary 33 3 Linear Filtering Approaches 34 3.1 Introduction 34 3.2 Kalman Filter 34 3.3 Steady-State Kalman Filter 48 3.4 Summary 52 4 Nonlinear Filtering Approaches 53 4.1 Introduction 53 4.2 Extended Kalman Filter 53 4.3 Unscented Kalman Filter 58 4.4 Particle Filter 65 4.5 Summary 71 5 Measurement Preprocessing Techniques 72 5.1 Introduction 72 5.2 Time Registration 72 5.3 Space Registration 75 5.4 Radar Error Calibration Techniques 88 5.5 Data Compression Techniques 89 5.6 Summary 93 6 Track Initiation in Multi-target Tracking 95 6.1 Introduction 95 6.2 The Shape and Size of Track Initiation Gates 96 6.3 Track Initiation Algorithms 100 6.4 Comparison and Analysis of Track Initiation Algorithms 109 6.5 Discussion of Some Issues in Track Initiation 116 6.6 Summary 117 7 Maximum Likelihood Class Multi-target Data Association Methods 118 7.1 Introduction 118 7.2 Track-Splitting Algorithm 118 7.3 Joint Maximum Likelihood Algorithm 123 7.4 0-1 Integer Programming Algorithm 126 7.5 Generalized Correlation Algorithm 130 7.6 Summary 137 8 Bayesian Multi-target Data Association Approach 138 8.1 Introduction 138 8.2 Nearest-Neighbor Algorithm 138 8.3 Probabilistic Data Association Algorithm 141 8.4 Integrated Probabilistic Data Association Algorithm 152 8.5 Joint Probabilistic Data Association Algorithm 154 8.6 Summary 167 9 Tracking Maneuvering Targets 169 9.1 Introduction 169 9.2 Tracking Algorithm with Maneuver Detection 170 9.3 Adaptive Tracking Algorithm 174 9.4 Performance Comparison of Maneuvering Target Tracking Algorithms 189 9.5 Summary 201 10 Group Target Tracking 203 10.1 Introduction 203 10.2 Basic Methods for Track Initiation of the Group Target 204 10.3 The Gray Fine Track Initiation Algorithm for Group Targets 214 10.4 Centroid Group Tracking 233 10.5 Formation Group Tracking 238 10.6 Performance Analysis of Tracking Algorithms for Group Targets 240 10.7 Summary 246 11 Multi-target Track Termination Theory and Track Management 250 11.1 Introduction 250 11.2 Multi-target Track Termination Theory 250 11.3 Track Management 258 11.4 Summary 275 …