Atjaunināt sīkdatņu piekrišanu

Network Radar Countermeasure Systems: Integrating Radar and Radar Countermeasures 2016 ed. [Hardback]

  • Formāts: Hardback, 303 pages, height x width: 235x155 mm, weight: 6613 g, 60 Illustrations, color; 211 Illustrations, black and white; XIV, 303 p. 271 illus., 60 illus. in color., 1 Hardback
  • Izdošanas datums: 18-Dec-2015
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662484692
  • ISBN-13: 9783662484692
Citas grāmatas par šo tēmu:
  • Hardback
  • Cena: 136,16 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 160,19 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
Network Radar Countermeasure Systems: Integrating Radar and Radar Countermeasures 2016 ed.Palielināt
  • Formāts: Hardback, 303 pages, height x width: 235x155 mm, weight: 6613 g, 60 Illustrations, color; 211 Illustrations, black and white; XIV, 303 p. 271 illus., 60 illus. in color., 1 Hardback
  • Izdošanas datums: 18-Dec-2015
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662484692
  • ISBN-13: 9783662484692
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783662484692.html
Keywords:
This is the very first book to present the network radar countermeasure system. It explains in detail the systematic concept of combining radar and radar countermeasures from the perspective of the information acquisition of target location, the optimization of the reconnaissance and detection, the integrated attack of the signals and facilities, and technological and legal developments concerning the networked system. It achieves the integration of the initiative and passivity, detection and jamming. The book explains how the system locates targets, completes target identification, tracks targets and compiles the data.

Overview of network radar countermeasure system.- Target location of network radar countermeasure system.- Target recognition of network radar countermeasure system.- Target tracking of network radar countermeasure system.- Data fusion of network radar countermeasure system.- Four-countermeasure capabilities analysis of network radar countermeasure system.
1 Introduction to Network Radar Countermeasure Systems
1(66)
1.1 Introduction
1(5)
1.2 Overview of a Network Radar Countermeasure System
6(8)
1.2.1 Working Principle of a Network Radar Countermeasure System
7(4)
1.2.2 Working Mode of the Network Radar Countermeasure System
11(3)
1.3 Configuration of the Network Radar Countermeasure System
14(3)
1.3.1 Annular Configuration
14(1)
1.3.2 Linear Configuration
15(1)
1.3.3 Zone Configuration
16(1)
1.4 Performance of Network Radar Countermeasure Systems
17(50)
1.4.1 Reconnaissance Detection Area of the Active Mode
17(8)
1.4.2 Reconnaissance Detection Area in Passive Mode
25(3)
1.4.3 Reconnaissance Detection Area in the Integrated Active-Passive Mode
28(1)
1.4.4 Reconnaissance Detection Area in Jamming Conditions
29(6)
1.4.5 Jamming and Suppression Area of the Network Radar Countermeasure System
35(9)
1.4.6 Fuzzy Function in the Mode of Reconnaissance Detection
44(23)
2 Target Positioning of Network Radar Countermeasure Systems
67(64)
2.1 Introduction
67(1)
2.2 Active Mode Target Location
68(46)
2.2.1 Multiple Transmitter One Receiver Mode
68(20)
2.2.2 One Transmitter Multiple Receiver Mode and Multiple Transmitter Multiple Receiver Mode
88(26)
2.3 Target Location in the Passive Mode
114(10)
2.3.1 Acquisition of Location Solution
114(2)
2.3.2 Location Error Analysis
116(1)
2.3.3 Cramer--Rao Bound of Target Location Estimation
117(2)
2.3.4 Simulation and Analysis
119(5)
2.4 Integration of the Active and Passive Modes for Target Location
124(7)
3 Network Radar Countermeasure Systems for Target Recognition
131(32)
3.1 Introduction
131(2)
3.2 Target Recognition with Single Station in Network Radar Countermeasure System
133(22)
3.2.1 The Basic Probability Assignment Calculation of Target Recognition
134(5)
3.2.2 Target Recognition Based on D--S Evidence Theory
139(4)
3.2.3 Single Station Target Identification
143(12)
3.3 Network Center Comprehensive Target Recognition
155(8)
3.3.1 Evidence Weighted Processing of Central Station
157(1)
3.3.2 Recognition Framework Adjustment of Central Station
158(1)
3.3.3 Integrated Identification Example of Central Station
159(4)
4 Target Tracking of Network Radar Countermeasure Systems
163(80)
4.1 Introduction
163(1)
4.2 Target Motion Model
163(6)
4.2.1 Uniform Motion Model
164(1)
4.2.2 Uniformly Accelerated Motion Model
165(1)
4.2.3 Singer Model
166(2)
4.2.4 The Turning Model of Maneuvering Targets
168(1)
4.3 Tracking Filtering Algorithm
169(8)
4.3.1 Information Filter
169(1)
4.3.2 Non-linear Filtering Algorithm
170(4)
4.3.3 Adaptive Filtering Algorithm
174(3)
4.4 Tracking Filter Form
177(7)
4.4.1 Collect Data
177(1)
4.4.2 Centralized Processing Filter Form
178(3)
4.4.3 The Filter Form of Distributed Processing
181(3)
4.5 Joint Probabilistic Data Association Algorithm
184(13)
4.5.1 The Optimal Joint Probability Data Association Algorithm
186(4)
4.5.2 The Simple Joint Probabilistic Data Association Algorithm
190(3)
4.5.3 Associated Algorithm of the Joint Probability Data with the Probability-Weighted Summation Equal to 1
193(2)
4.5.4 Improved Associated Algorithm of the Joint Probability Data
195(2)
4.6 Tracking Multiple Targets by Multiple Receiving Stations
197(46)
4.6.1 The Joint Probabilistic Data Association Algorithm of Parallel Multiple Receiving Stations
197(1)
4.6.2 Joint Probabilistic Data Association Algorithm of Ordered Multiple Receiving Stations
198(2)
4.6.3 Simulation and Analysis
200(43)
5 Network Radar Countermeasure Systems
243(30)
5.1 Introduction
243(1)
5.2 The Pretreatment of a Network Radar Countermeasure System
244(5)
5.2.1 The Space Calibration Network Radar Countermeasure System
244(4)
5.2.2 Time Calibration of the Network Radar Countermeasure System
248(1)
5.3 Hubs Associated Target Track
249(18)
5.3.1 Identity Information Associated with the Target Track
250(3)
5.3.2 Fuzzy Comprehensive Decision of Track Correlation
253(7)
5.3.3 Evidence Track Association Algorithm of Fuzzy Comprehensive Decision
260(7)
5.4 Track Fusion Network Radar Countermeasure System
267(6)
5.4.1 Simple Track Fusion and Cross-Covariance Combination Track Fusion
267(3)
5.4.2 Covariance Intersection Fusion
270(3)
6 Four Countermeasure Capacity Analysis of Network Radar Countermeasure Systems
273(26)
6.1 Network Radar Countermeasure System Anti-jamming Performance Analysis
273(10)
6.1.1 Anti-active Blanket Jamming
274(6)
6.1.2 Resistance to Active Deception Jamming
280(3)
6.2 The Performance Analysis of Network Radar Countermeasure System on Anti-stealth
283(5)
6.2.1 Passive Work Mode for Anti-stealth
284(1)
6.2.2 Selection of Proper Frequency Increasing Anti-stealth Capability
285(1)
6.2.3 Sending and Receiving Allocation and Data Sharing Improve Anti-stealth Capability
286(2)
6.3 Anti-radiation Attack Performance Analysis of a Network Radar Countermeasure System
288(6)
6.3.1 The Advantage of the Network Radar against Anti-surveillance System and Anti-radiation Weapons
288(2)
6.3.2 Anti-destroying Capability Analysis
290(4)
6.4 Network Radar Countermeasure System Against Anti-Low-Altitude Penetration Performance Analysis
294(5)
6.4.1 Bi-static Radar Increasing the Detection Range
294(2)
6.4.2 Passive Detection Improves the Low-Altitude Target Detection Capability
296(3)
Bibliography 299
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.