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Emitter Detection and Geolocation for Electronic Warfare Unabridged edition [Kõva köide]

  • Formaat: Hardback, 348 pages
  • Ilmumisaeg: 31-Oct-2019
  • Kirjastus: Artech House Publishers
  • ISBN-10: 1630815640
  • ISBN-13: 9781630815646
Teised raamatud teemal:
Emitter Detection and Geolocation for Electronic Warfare Unabridged editionSuurem pilt
  • Formaat: Hardback, 348 pages
  • Ilmumisaeg: 31-Oct-2019
  • Kirjastus: Artech House Publishers
  • ISBN-10: 1630815640
  • ISBN-13: 9781630815646
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781630815646.html
Märksõnad:
This comprehensive resource provides theoretical formulation for detecting and geolocating non-cooperative emitters. Implementation of geolocation algorithms are discussed, as well as performance prediction of a hypothetical passive location system for systems analysis or vulnerability calculation. Comparison of novel direction finding and geolocation algorithms to classical forms are also included. Rooted in statistical signal processing and array processing theory, this book also provides an overview of the application of novel detection and estimation algorithms to real world problems in EW. The book is divided into three parts: detection, angle of arrival estimation, and geolocation. Each section begins with an introductory chapter covering the relevant signal processing theory (either detection or estimation), then provides a series of chapters covering specific methods to achieve the desired end-product. MATLAB® code is provided to assist readers with relevant probability and statistics, RF propagation, atmospheric absorption, and noise, giving readers an understanding of the implementation of the algorithms in the book, as well as developing new approaches to solving problems. Packed with problem sets and examples, this book strikes a balance between introductory texts and reference manuals, making it useful for novice as well as advanced practitioners.
Preface xv
Chapter 1 Introduction
1(10)
1.1 Detection of Threat Emitters
2(2)
1.2 Angle of Arrival (AOA) Estimation
4(1)
1.3 Geolocation of Threat Emitters
5(2)
1.3.1 Geolocation by Satellite
7(1)
1.4 Signals of Interest
7(2)
1.5 Nonmilitary Uses
9(1)
1.6 Limitations
9(2)
I Detection of Threat Emitters
11(72)
Chapter 2 Detection Theory
13(16)
2.1 Background
13(4)
2.1.1 Sources of Variation
13(1)
2.1.2 Likelihood Function
14(1)
2.1.3 Sufficient Statistic
15(2)
2.2 Binary Hypothesis Testing
17(4)
2.3 Composite Hypothesis
21(3)
2.4 Constant False-Alarm Rate Detectors
24(3)
2.4.1 Side Channel Information
25(2)
2.5 Problem Set
27(2)
Chapter 3 Detection of CW Signals
29(20)
3.1 Background
29(1)
3.2 Formulation
30(3)
3.3 Solution
33(3)
3.3.1 Threshold Selection
34(1)
3.3.2 Detection Algorithm
35(1)
3.3.3 Detection Performance
36(1)
3.4 Performance Analysis
36(10)
3.4.1 Brief Review of RF Propagation
37(4)
3.4.2 Detection of an FM Broadcast Tower
41(3)
3.4.3 CW Radar Detection
44(2)
3.5 Problem Set
46(3)
Chapter 4 Detection of Spread Spectrum Signals
49(22)
4.1 Background
50(3)
4.2 Formulation
53(1)
4.2.1 DSSS Encoding
53(1)
4.2.2 Spread Spectrum Radar Signals
54(1)
4.3 Solution
54(8)
4.3.1 Energy Detectors
54(1)
4.3.2 Cyclostationary Detectors
55(3)
4.3.3 Cross-Correlation Detectors
58(4)
4.4 Performance Analysis
62(5)
4.4.1 Detection of a 3G CDMA Cell Signal
64(2)
4.4.2 Detection of a Wideband Radar Pulse
66(1)
4.5 Limitations
67(1)
4.6 Problem Set
68(3)
Chapter 5 Scanning Receivers
71(12)
5.1 Digital Receivers
72(1)
5.1.1 In-Phase (I) and Quadrature (Q) Digitization
73(1)
5.2 IF Receivers
73(3)
5.3 Frequency Resolution
76(3)
5.4 Problem Set
79(4)
II Angle of Arrival Estimation
83(100)
Chapter 6 Estimation Theory
85(22)
6.1 Background
85(1)
6.2 Maximum Likelihood Estimation
86(2)
6.3 Other Estimators
88(6)
6.3.1 Minimum Variance Unbiased Estimators
88(1)
6.3.2 Bayes Estimators
89(2)
6.3.3 Least Square Estimators
91(1)
6.3.4 Convex Estimators
92(1)
6.3.5 Tracking Estimators
92(2)
6.4 Performance Measures
94(9)
6.4.1 Root Mean Squared Error (RMSE)
95(1)
6.4.2 CRLB
95(6)
6.4.3 Angle Error Variance and Confidence Intervals
101(2)
6.5 Problem Set
103(4)
Chapter 7 Direction-Finding Systems
107(38)
7.1 Beam Pattern-Based Direction Finding
108(9)
7.1.1 Implementation
110(1)
7.1.2 Performance
110(7)
7.2 Watson-Watt Direction Finding
117(3)
7.2.1 Implementation
118(1)
7.2.2 Performance
119(1)
7.3 Doppler-Based Direction Finding
120(7)
7.3.1 Formulation
122(1)
7.3.2 Implementation
123(1)
7.3.3 Performance
124(3)
7.4 Phase Interferometry
127(5)
7.4.1 Implementation
129(1)
7.4.2 Performance
130(2)
7.4.3 Resolving Ambiguities with Multiple Baselines
132(1)
7.5 Performance Comparison
132(5)
7.6 Monopulse Direction Finding
137(4)
7.6.1 Performance
139(2)
7.7 Problem Set
141(4)
Chapter 8 Array-Based AOA
145(38)
8.1 Background
145(3)
8.1.1 Nonstandard Array Configurations
146(2)
8.2 Formulation
148(11)
8.2.1 Multiple Plane Waves
149(1)
8.2.2 Wideband Signals
149(1)
8.2.3 Array Beamforming
149(3)
8.2.4 Nonisotropic Element Patterns
152(1)
8.2.5 Gain and Beamwidth
153(1)
8.2.6 Array Tapers
154(3)
8.2.7 Two-Dimensional Arrays
157(2)
8.3 Solution
159(13)
8.3.1 Signal Models
159(1)
8.3.2 Maximum Likelihood Estimation
160(3)
8.3.3 Beamformer Scanning
163(5)
8.3.4 Subspace-Based Methods
168(4)
8.4 Performance Analysis
172(6)
8.4.1 Gaussian Signal Model
172(1)
8.4.2 Deterministic Signal Model
173(5)
8.5 Problem Set
178(5)
III Geolocation of Threat Emitters
183(104)
Chapter 9 Geolocation of Emitters
185(14)
9.1 Background
185(1)
9.2 Performance Metrics
186(7)
9.2.1 Error Ellipse
186(4)
9.2.2 CEP
190(3)
9.2.3 MATLAB® Code
193(1)
9.3 CRLB
193(2)
9.4 Trackers
195(1)
9.5 Geolocation Algorithms
195(1)
9.5.1 Ongoing Research
195(1)
9.6 Problem Set
196(3)
Chapter 10 Triangulation of AOA Measurements
199(18)
10.1 Background
199(1)
10.2 Formulation
200(3)
10.2.1 3-D Geometry
202(1)
10.3 Solution
203(8)
10.3.1 Geometric Solution for Two Measurements
203(1)
10.3.2 Geometric Solutions for Three or More Measurements
203(1)
10.3.3 Maximum Likelihood Estimate
203(2)
10.3.4 Iterative Least Squares
205(2)
10.3.5 Gradient Descent
207(4)
10.4 Other Solutions
211(1)
10.5 Performance Analysis
211(3)
10.6 Problem Set
214(3)
Chapter 11 TDOA
217(28)
11.1 Background
217(1)
11.2 Formulation
218(2)
11.2.1 Isochrones
219(1)
11.2.2 Number of Sensors
219(1)
11.3 Solution
220(8)
11.3.1 Maximum Likelihood Estimate
222(1)
11.3.2 Iterative Least Squares Solution
222(2)
11.3.3 Gradient Descent Algorithms
224(1)
11.3.4 Chan-Ho Approach
225(2)
11.3.5 Spherical Methods
227(1)
11.4 TDOA Estimation
228(5)
11.4.1 Time of Arrival Detection
229(1)
11.4.2 Cross-Correlation Processing
230(2)
11.4.3 Clock Synchronization
232(1)
11.5 Geolocation Performance
233(5)
11.6 Limitations
238(2)
11.7 Problem Set
240(5)
Chapter 12 FDOA
245(22)
12.1 Background
246(1)
12.2 Formulation
247(1)
12.3 Solution
248(7)
12.3.1 Maximum Likelihood Estimate
250(1)
12.3.2 Iterative Least Squares Solution
251(2)
12.3.3 Gradient Descent Algorithms
253(1)
12.3.4 Other Approaches
253(2)
12.4 FDOA Estimation
255(2)
12.4.1 Frequency of Arrival Estimation
255(1)
12.4.2 FDOA Estimation
256(1)
12.4.3 Limitations of Frequency Estimation
257(1)
12.5 Geolocation Performance
257(4)
12.6 Limitations
261(2)
12.7 Problem Set
263(4)
Chapter 13 Hybrid TDOA/FDOA
267(20)
13.1 Background
267(1)
13.2 Formulation
268(2)
13.3 Solution
270(7)
13.3.1 Numerically Tractable Solutions
271(4)
13.3.2 Other Solutions
275(2)
13.4 Joint Parameter Estimation
277(3)
13.4.1 AOA Estimation
277(1)
13.4.2 Joint Estimation of Time/Frequency Difference
277(2)
13.4.3 Full Covariance Matrix
279(1)
13.5 Performance Analysis
280(3)
13.6 Limitations
283(1)
13.7 Problem Set
283(4)
Appendix A Probability and Statistics
287(12)
A.1 Common Distributions
287(6)
A.1.1 Gaussian Random Variable
288(1)
A.1.2 Complex Gaussian Random Variable
288(2)
A.1.3 Chi-Squared Random Variable
290(1)
A.1.4 Noncentral Chi-Squared Random Variable
290(2)
A.1.5 Rayleigh Random Variable
292(1)
A.1.6 Rician Random Variable
292(1)
A.2 Student's T Distribution
293(1)
A.3 Random Vectors
294(5)
A.3.1 Gaussian Random Vectors
295(1)
A.3.2 Complex Gaussian Random Vectors
296(3)
Appendix B RF Propagation
299(10)
B.1 Free-Space Propagation
300(1)
B.2 Two-Ray Propagation
300(1)
B.3 Fresnel Zone
301(3)
B.4 Knife-Edge Diffraction
304(1)
B.5 Other Models
305(1)
B.6 Urban Signal Propagation
305(4)
Appendix C Atmospheric Absorption
309(8)
C.1 Losses Due to Absorption by Gases
310(1)
C.2 Losses Due to Absorption by Rain
311(2)
C.3 Losses Due to Absorption by Clouds and Fog
313(1)
C.4 Standard Atmosphere
313(1)
C.5 Wrapper Function
314(1)
C.6 Zenith Attenuation
314(1)
C.7 MATLAB® Toolboxes and Model Fidelity
315(2)
Appendix D System Noise
317(10)
D.1 Additive White Gaussian Noise
317(2)
D.2 Colored Noise
319(1)
D.3 Sky Noise
319(5)
D.3.1 Cosmic Noise
320(3)
D.3.2 Atmospheric Noise
323(1)
D.3.3 Ground Noise
323(1)
D.4 Urban (Man-Made) Noise
324(3)
About the Author 327(2)
Index 329