Network Radar Countermeasure Systems (eBook)

Pf. Qiuxi Jiang: As a professor and a doctoral tutor in Electronic Engineering Institute, he has been engaged in teaching and research work for 30 years since the graduation from Xidian University in 1982. He has got numerous awards, including the second prize of State Technological Invention Award and the first prize of Army Scientific and Technological progress. He has got the honorable title of advanced worker for his scientific effort, and enjoyed special government allowance from the State Council. He owns 11 National Invention Patents and 100 technical papers and publications. He is also a member of National 863 Specialist Committee, an assessment expert of national science award, a senior fellow of Chinese Institute of Electronic and a fellow of CSNAME.

Foreword 6
Preface 8
Contents 12
Chapter 1: Introduction to Network Radar Countermeasure Systems 16
1.1 Introduction 16
1.2 Overview of a Network Radar Countermeasure System 21
1.2.1 Working Principle of a Network Radar Countermeasure System 22
1.2.2 Working Mode of the Network Radar Countermeasure System 26
1.2.2.1 Active Mode 26
1.2.2.2 Passive Mode 28
1.2.2.3 Active Passive Integration Mode 29
1.3 Configuration of the Network Radar Countermeasure System 29
1.3.1 Annular Configuration 29
1.3.2 Linear Configuration 30
1.3.3 Zone Configuration 31
1.4 Performance of Network Radar Countermeasure Systems 32
1.4.1 Reconnaissance Detection Area of the Active Mode 32
1.4.1.1 Equation of Reconnaissance Detection 33
1.4.1.2 Simulation of the Reconnaissance Detection Area 35
1.4.2 Reconnaissance Detection Area in Passive Mode 40
1.4.2.1 Equation of Reconnaissance Detection 40
1.4.2.2 Simulation of the Reconnaissance Detection Area 40
1.4.3 Reconnaissance Detection Area in the Integrated Active-Passive Mode 43
1.4.3.1 Equation of Reconnaissance Detection 43
1.4.3.2 Simulation of the Reconnaissance Detection Area 43
1.4.4 Reconnaissance Detection Area in Jamming Conditions 44
1.4.4.1 Calculation of the Detection Area of the Network Radar Countermeasure System in Jamming Conditions 44
1.4.4.2 Simulation of the Detection Area of the Network Radar Countermeasure System Under Jamming Conditions 47
1.4.5 Jamming and Suppression Area of the Network Radar Countermeasure System 50
1.4.5.1 Jamming and Suppression Area 50
Analysis of the Suppression Capability of a Single Jammer to a Single Airborne Radar 50
Performance Analysis of the System Suppressing a Single Airborne Radar 54
1.4.5.2 Simulation of Jamming and Suppression Area 56
1.4.6 Fuzzy Function in the Mode of Reconnaissance Detection 59
1.4.6.1 Expressions of Fuzzy Function 59
1.4.6.2 Multiple Transmitter One Receiver Mode 61
1.4.6.3 One Transmitter Multiple Receiver Mode 69
1.4.6.4 Multiple Transmitters Multiple Receivers Mode 74
Chapter 2: Target Positioning of Network Radar Countermeasure Systems 82
2.1 Introduction 82
2.2 Active Mode Target Location 83
2.2.1 Multiple Transmitter One Receiver Mode 83
2.2.1.1 Acquisition of the Positioning Solution 83
2.2.1.2 Positioning Error Analysis 86
2.2.1.3 Estimated Cramér-Rao Bound of the Target Position of the Receiver Station 89
2.2.1.4 Simulation and Analysis 90
2.2.2 One Transmitter Multiple Receiver Mode and Multiple Transmitter Multiple Receiver Mode 103
2.2.2.1 Distribution Centralized Structure 103
Fusion Positioning Algorithm of the Central Station 103
The Central Station Estimates the Target Location in the Cramér-Rao Bound 105
Simulation and Analysis 106
2.2.2.2 Centralized Structure 119
Acquisition of the Positioning Solution 119
Locating Error Analysis 121
The Cramér-Rao Bound of the Target Location Estimation of the Central Station 123
Simulations and Analysis 125
2.3 Target Location in the Passive Mode 129
2.3.1 Acquisition of Location Solution 129
2.3.2 Location Error Analysis 131
2.3.3 Cramér-Rao Bound of Target Location Estimation 132
2.3.4 Simulation and Analysis 134
2.4 Integration of the Active and Passive Modes for Target Location 139
Chapter 3: Network Radar Countermeasure Systems for Target Recognition 145
3.1 Introduction 145
3.2 Target Recognition with Single Station in Network Radar Countermeasure System 147
3.2.1 The Basic Probability Assignment Calculation of Target Recognition 148
3.2.1.1 Fuzzy Reasoning 148
3.2.1.2 The Fuzzy Membership of Characteristic Parameters 149
3.2.1.3 Basic Probability Assignment Function of Target Recognition 152
3.2.2 Target Recognition Based on D-S Evidence Theory 153
3.2.2.1 D-S Evidence Theory 153
3.2.2.2 The Target Identification Instance Based on D-S Evidence Theory 156
3.2.3 Single Station Target Identification 157
3.2.3.1 Selecting the Target Fingerprint Characteristic Parameters 158
3.2.3.2 The Individual Identification of a Single Station Target 165
3.3 Network Center Comprehensive Target Recognition 169
3.3.1 Evidence Weighted Processing of Central Station 171
3.3.2 Recognition Framework Adjustment of Central Station 172
3.3.3 Integrated Identification Example of Central Station 173
Chapter 4: Target Tracking of Network Radar Countermeasure Systems 176
4.1 Introduction 176
4.2 Target Motion Model 176
4.2.1 Uniform Motion Model 177
4.2.2 Uniformly Accelerated Motion Model 178
4.2.3 Singer Model 179
4.2.4 The Turning Model of Maneuvering Targets 181
4.3 Tracking Filtering Algorithm 182
4.3.1 Information Filter 182
4.3.2 Non-linear Filtering Algorithm 183
4.3.2.1 EKF Filtering Algorithm 183
4.3.2.2 UKF Filtering Algorithm 184
4.3.3 Adaptive Filtering Algorithm 187
4.3.3.1 Interacting Multiple Model Algorithm 187
4.4 Tracking Filter Form 190
4.4.1 Collect Data 190
4.4.2 Centralized Processing Filter Form 191
4.4.2.1 Parallel Filtering 191
4.4.2.2 Serial Filter 192
4.4.2.3 Data Compression 193
4.4.3 The Filter Form of Distributed Processing 194
4.5 Joint Probabilistic Data Association Algorithm 197
4.5.1 The Optimal Joint Probability Data Association Algorithm 199
4.5.2 The Simple Joint Probabilistic Data Association Algorithm 203
4.5.3 Associated Algorithm of the Joint Probability Data with the Probability-Weighted Summation Equal to 1 206
4.5.4 Improved Associated Algorithm of the Joint Probability Data 208
4.6 Tracking Multiple Targets by Multiple Receiving Stations 210
4.6.1 The Joint Probabilistic Data Association Algorithm of Parallel Multiple Receiving Stations 210
4.6.2 Joint Probabilistic Data Association Algorithm of Ordered Multiple Receiving Stations 211
4.6.3 Simulation and Analysis 213
4.6.3.1 Simulation Example One 213
4.6.3.2 Simulation Example Two 217
4.6.3.3 Simulation Example Three 221
4.6.3.4 Simulation Example Four 223
4.6.3.5 Simulation Example Five 224
4.6.3.6 Simulation Example Six 228
4.6.3.7 Simulation Example Seven 231
4.6.3.8 Simulation Example Eight 231
4.6.3.9 Simulation Example Nine 234
4.6.3.10 Simulation Example Ten 236
4.6.3.11 Simulation Example Eleven 242
4.6.3.12 Simulation Example Twelve 246
4.6.3.13 Simulation Example Thirteen 249
Chapter 5: Network Radar Countermeasure Systems 255
5.1 Introduction 255
5.2 The Pretreatment of a Network Radar Countermeasure System 256
5.2.1 The Space Calibration Network Radar Countermeasure System 256
5.2.2 Time Calibration of the Network Radar Countermeasure System 260
5.3 Hubs Associated Target Track 261
5.3.1 Identity Information Associated with the Target Track 262
5.3.2 Fuzzy Comprehensive Decision of Track Correlation 265
5.3.3 Evidence Track Association Algorithm of Fuzzy Comprehensive Decision 272
5.4 Track Fusion Network Radar Countermeasure System 279
5.4.1 Simple Track Fusion and Cross-Covariance Combination Track Fusion 279
5.4.2 Covariance Intersection Fusion 282
Chapter 6: Four Countermeasure Capacity Analysis of Network Radar Countermeasure Systems 285
6.1 Network Radar Countermeasure System Anti-jamming Performance Analysis 285
6.1.1 Anti-active Blanket Jamming 286
6.1.1.1 The Performance of Anti-active Oppressive Jamming Resistance with Passive Mode 286
6.1.1.2 The Performance of Anti-active Oppressive Jamming Resistance with Active Working Mode 286
6.1.2 Resistance to Active Deception Jamming 292
6.1.2.1 The Performance of Anti-active Deception Jamming with Passive Working Mode 292
6.1.2.2 The Performance of Anti-active Deception Jamming with Active Working Mode 293
6.2 The Performance Analysis of Network Radar Countermeasure System on Anti-stealth 295
6.2.1 Passive Work Mode for Anti-stealth 296
6.2.2 Selection of Proper Frequency Increasing Anti-stealth Capability 297
6.2.3 Sending and Receiving Allocation and Data Sharing Improve Anti-stealth Capability 298
6.3 Anti-radiation Attack Performance Analysis of a Network Radar Countermeasure System 300
6.3.1 The Advantage of the Network Radar against Anti-surveillance System and Anti-radiation Weapons 300
6.3.2 Anti-destroying Capability Analysis 302
6.4 Network Radar Countermeasure System Against Anti-Low-Altitude Penetration Performance Analysis 306
6.4.1 Bi-static Radar Increasing the Detection Range 306
6.4.2 Passive Detection Improves the Low-Altitude Target Detection Capability 308
Bibliography 311