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Produktbild: Radar Data Processing with Applications

Radar Data Processing with Applications

Aus der Reihe IEEE Press

199,99 €

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

24.10.2016

Verlag

John Wiley & Sons Inc

Seitenzahl

560

Maße (L/B/H)

25/17,5/3,4 cm

Gewicht

1129 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-118-95686-1

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

24.10.2016

Verlag

John Wiley & Sons Inc

Seitenzahl

560

Maße (L/B/H)

25/17,5/3,4 cm

Gewicht

1129 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-118-95686-1

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Radar Data Processing with Applications
  • 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
    1.2.1 Measurements 2
    1.2.2 Measurement Preprocessing 2
    1.2.3 Data Association 4
    1.2.4 Wave Gate 4
    1.2.5 Track Initiation and Termination 5
    1.2.6 Tracking 5
    1.2.7 Track 7

    1.3 Design Requirements and Main Technical Indexes of Radar Data Processors 9
    1.3.1 Basic Tasks of Data Processors 9
    1.3.2 The Engineering Design of Data Processors 9
    1.3.3 The Main Technical Indexes of Data Processors 11
    1.3.4 The Evaluation of Data Processors 11

    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
    2.3.1 Maximum A Posteriori Estimator 23
    2.3.2 Maximum Likelihood Estimator 24
    2.3.3 Minimum Mean Square Error Estimator 24
    2.3.4 Least Squares Estimator 26

    2.4 Properties of Estimators 26
    2.4.1 Unbiasedness 26
    2.4.2 The Variance of an Estimator 26
    2.4.3 Consistent Estimators 26
    2.4.4 Efficient Estimators 27

    2.5 Parameter Estimation of Static Vectors 28
    2.5.1 Least Squares Estimator 28
    2.5.2 Minimum Mean Square Error Estimator 30
    2.5.3 Linear Minimum Mean Square Error Estimator 32

    2.6 Summary 33

    3 Linear Filtering Approaches 34

    3.1 Introduction 34

    3.2 Kalman Filter 34
    3.2.1 System Model 35
    3.2.2 Filtering Model 41
    3.2.3 Initialization of Kalman Filters 44

    3.3 Steady-State Kalman Filter 48
    3.3.1 Mathematical Definition and Judgment Methods for Filter Stability 49
    3.3.2 Controllability and Observability of Random Linear System 49
    3.3.3 Steady-State Kalman Filter 50

    3.4 Summary 52

    4 Nonlinear Filtering Approaches 53

    4.1 Introduction 53

    4.2 Extended Kalman Filter 53
    4.2.1 Filter Model 54
    4.2.2 Some Problems in the Application of Extended Kalman Filters 58

    4.3 Unscented Kalman Filter 58
    4.3.1 Unscented Transformation 59
    4.3.2 Filtering Model 60
    4.3.3 Simulation Analysis 61

    4.4 Particle Filter 65
    4.4.1 Filtering Model 65
    4.4.2 Examples of the Application of EKF, UKF, and PF 67

    4.5 Summary 71

    5 Measurement Preprocessing Techniques 72

    5.1 Introduction 72

    5.2 Time Registration 72
    5.2.1 Interpolation/Extrapolation Method Using Velocity 73
    5.2.2 The Lagrange Interpolation Algorithm 74
    5.2.3 Least-Squares Curve-Fitting Algorithm 74

    5.3 Space Registration 75
    5.3.1 Coordinates 75
    5.3.2 Coordinate Transformation 80
    5.3.3 Transformation of Several Common Coordinate Systems 83

    5.3.4 Selection of Tracking Coordinate Systems and Filtering State Variables 87

    5.4 Radar Error Calibration Techniques 88

    5.5 Data Compression Techniques 89
    5.5.1 Data Compression in Monostatic Radar 89
    5.5.2 Data Compression in Multistatic Radar 91

    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
    6.2.1 The Annular Gate 96
    6.2.2 The Elliptic/Ellipsoidal Gate 97
    6.2.3 The Rectangular Gate 99
    6.2.4 The Sector Gate 99

    6.3 Track Initiation Algorithms 100
    6.3.1 Logic-Based Method 101
    6.3.2 Modified Logic-Based Method 102
    6.3.3 Hough Transform-Based Method 103
    6.3.4 Modified Hough Transform-Based Method 106
    6.3.5 Hough Transform and Logic-Based Method 107
    6.3.6 Formation Target Method Based on Clustering and Hough Transform 108

    6.4 Comparison and A