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Radar Principles [Kõva köide]

  • Formaat: Hardback, 794 pages, kõrgus x laius x paksus: 235x160x42 mm, kaal: 1370 g
  • Ilmumisaeg: 14-Oct-1998
  • Kirjastus: Wiley-Interscience
  • ISBN-10: 0471252050
  • ISBN-13: 9780471252054
Teised raamatud teemal:
  • Formaat: Hardback, 794 pages, kõrgus x laius x paksus: 235x160x42 mm, kaal: 1370 g
  • Ilmumisaeg: 14-Oct-1998
  • Kirjastus: Wiley-Interscience
  • ISBN-10: 0471252050
  • ISBN-13: 9780471252054
Teised raamatud teemal:
An introductory text on radar principles, providing sophisticated mathematical treatment concentrating on basic and optimum methods of realizing radar operations and on modern applications. Explains general principles first, such as wave propagation and signal theory, before advancing to more complex topics involving aspects of measurement and tracking. Includes a self-contained treatment of digital signal processing, and appendices of review material and mathematical formulas, plus chapter problems and worked examples. For senior and graduate courses in electrical engineering departments. Annotation c. by Book News, Inc., Portland, Or.

A comprehensive introduction to radar principles

This volume fills a need in industry and universities for a comprehensive introductory text on radar principles. Well-organized and pedagogically driven, this book focuses on basic and optimum methods of realizing radar operations, covers modern applications, and provides a detailed, sophisticated mathematical treatment. Author Peyton Z. Peebles, Jr., draws on an extensive review of existing radar literature to present a selection of the most fundamental topics. He clearly explains general principles, such as wave propagation and signal theory, before advancing to more complex topics involving aspects of measurement and tracking. The last chapter provides a self-contained treatment of digital signal processing, which can be explored independently. Ample teaching and self-study help is incorporated throughout, including:
* Numerous worked-out examples illustrating radar theory
* Many end-of-chapter problems
* Hundreds of illustrations, including system block diagrams, demonstrating how radar functions are achieved
* Appended review material and useful mathematical formulas
* An extensive bibliography and references.

*An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Radar Principles is destined to become the standard text on radar for graduate and senior-level courses in electrical engineering departments as well as industrial courses. It is also an excellent reference for engineers who are typically required to learn radar principles on the job, and for anyone working in radar-related industries as well as in aerospace and naval research.

Preface xxi
1 Elementary Concepts
1(27)
1.1 Fundamental Elements of Radar
2(2)
General Block Diagram
2(1)
Types of Radar
3(1)
Radar Locations
3(1)
Radar Medium
3(1)
1.2 Functions Performed by Radar
4(1)
1.3 Overall System Considerations
4(2)
1.4 Types of Radar Targets
6(1)
1.5 Radar's Waveform, Power, and Energy
6(5)
Waveform
6(3)
Peak and Average Transmitted Powers
9(2)
Energy
11(1)
1.6 Some Basic Principles
11(6)
Elementary Range Measurement
11(1)
Doppler Effect Due to Target Motion
12(3)
Effect of Target Motion on Range Delay
15(1)
Effect of Target Motion on Received Waveform
16(1)
1.7 Some Definitions and Other Details
17(6)
Radar Coordinates
17(3)
Radar Frequency
20(1)
Radar Displays
21(2)
Problems
23(5)
2 Elements of Wave Propagation
28(47)
2.1 Spherical and Plane Waves
28(4)
2.2 Waves Near the Earth
32(2)
Troposphere
33(1)
Ionosphere
33(1)
Types of Waves
34(1)
2.3 Effects of Atmosphere on Waves
34(16)
Refraction
34(1)
Effective Earth Model for Refraction
35(3)
Radar Errors Due to Refraction
38(1)
Attenuation by a Clear Atmosphere
38(5)
Attenuation Due to Rainfall
43(2)
Attenuation Due to Clouds and Fog
45(3)
Attenuation Due to Snow, Sleet, and Hail
48(2)
2.4 Polarization and Reflection of Waves
50(15)
Polarization
51(5)
Wave Reflections from Smooth Flat Surfaces
56(3)
Reflections from Irregular and Spherical Surfaces
59(5)
Reflections from Rough Surfaces
64(1)
Composite Reflections
65(1)
2.5 Waves and Radar Antennas
65(4)
Radar Antenna
65(2)
Multipath
67(2)
Problems
69(6)
3 Antennas
75(78)
3.1 Aperture Antennas
75(5)
Aperture Electric Field Distributions
76(2)
Radiated Fields and Angular Spectra
78(1)
Power Flow Due to Radiation
79(1)
3.2 Radiation Intensity Pattern
80(4)
Vector Angular Spectrum
81(2)
Radiated Power
83(1)
3.3 Pattern/Illumination Function Relationship
84(6)
Fourier Transform Relationship
84(1)
Example of a Rectangular Aperture
85(2)
Example of a Circular Aperture
87(3)
3.4 Fundamental Pattern Parameters
90(8)
Solid Angle
90(1)
Beamwidths
91(1)
Directive Gain, Directivity, and Effective Area
91(1)
Power Gain and Antenna Efficiencies
92(1)
Loss Model
93(1)
Antenna as a Power-Receiving Device
94(1)
Antenna as a Voltage-Receiving Device
94(4)
3.5 Apertures with Constant Polarization
98(4)
Radiated Fields and Angular Spectra
99(1)
Radiation Intensity Pattern
99(1)
Radiated Power
100(1)
Fundamental Pattern Parameters
100(1)
Maximum Directivity and Aperture Efficiency
101(1)
3.6 Factorable Illumination Functions
102(3)
General Rectangular Aperture
102(1)
Constant-Polarization Rectangular Aperture
103(1)
One-Dimensional Aperture
104(1)
3.7 Sidelobe Control in One-Dimensional Apertures
105(10)
Examples of Even Aperture Distributions
106(1)
Taylor's Distribution
106(6)
Taylor's One-Parameter Distribution
112(3)
Odd Aperture Distributions
115(1)
3.8 Circularly Symmetric Illuminations
115(6)
Examples
117(1)
Taylor's Distributions
117(4)
3.9 Some Example Antennas of the Reflector Type
121(5)
Parabolic Reflectors
121(2)
Cassegrain Reflectors
123(1)
Reflectors Using Polarization Twisting
124(2)
3.10 Array Antennas
126(5)
Array Factor
127(1)
Radiation Intensity Pattern
128(2)
Beam Steering
130(1)
Directivity and Other Fundamental Parameters
131(1)
3.11 Rectangular Planar Array
131(5)
Array Factor
132(2)
Beamwidths
134(2)
Directivity
136(1)
3.12 Linear Array
136(6)
Beam Steering and Grating Lobes
137(2)
Beamwidth
139(2)
Directivity
141(1)
Problems
142(11)
4 Radar Equation
153(34)
4.1 Radar Equation
153(8)
Applicable Geometry
153(1)
Basic Equation
154(3)
Monostatic Radar Equation
157(1)
Beacon Equation
157(1)
Signal-to-Noise Ratio
158(2)
Logarithmic Forms
160(1)
4.2 Important Network Definitions and Properties
161(4)
Noise Definitions
161(1)
Maximum Power Transfer Theorem
162(1)
Available Power Gain
163(1)
Cascaded Networks
164(1)
4.3 Incremental Modeling of Noise Sources
165(3)
Resistor as Noise Source
165(1)
Model of Arbitrary Noise Source
166(2)
4.4 Incremental Modeling of Noisy Networks
168(4)
Noisy Network Model
168(1)
Cascaded Networks
169(2)
Noise Figures
171(1)
4.5 Practical Modeling of Noisy Sources and Networks
172(5)
Average Source and Effective Input Noise Temperatures
172(1)
Noise Bandwidth
173(2)
Average Noise Figures
175(1)
Noise Figure and Noise Temperature Interrelationships
175(1)
Modeling of Losses
176(1)
4.6 Overall Rader Receiver Model
177(2)
Problems
179(8)
5 Radar Cross Section
187(63)
5.1 Cross Sections for Small Targets
187(7)
Scattering Cross Section
188(2)
Radar Cross Section
190(1)
Effect of Polarization on Cross Section
190(4)
5.2 Target Scattering Matrices
194(3)
Jones Matrix
194(1)
Sinclair Matrix
195(2)
Uses of Scattering Matrices
197(1)
5.3 Examples of Target Cross Sections
197(16)
Sphere
197(2)
Flat Rectangular Plate
199(4)
Flat Circular Plate
203(1)
Circular Cylinder
203(1)
Straight Wire
203(1)
Other Simple Shapes
204(1)
Complex Target Shapes
204(9)
5.4 Cross Section of Area Targets
213(5)
Surface Backscattering Coefficient
213(2)
Surface Scattering Geometry
215(2)
General Behavior of Sigma^0
217(1)
5.5 Sea Surfaces as Area Targets
218(6)
Effects of Sea State, Grazing Angle, and Wind
219(3)
Effects of Frequency and Polarization
222(2)
5.6 Land Surfaces as Area Targets
224(6)
Typical Backscattering from Terrain
224(6)
Backscattering from Snow Surfaces
230(1)
5.7 Cross Section of Volume Targets
230(4)
Volume-Scattering Coefficient
230(3)
Effective Volume
233(1)
5.8 Meterological Volume Targets
234(4)
Rain Backscatter
234(2)
Rain Clutter Reduction
236(2)
Snow Backscatter
238(1)
Other Types of Precipitation
238(1)
5.9 Cross Section Fluctuations and Models
238(5)
Rayleigh Model
240(1)
Erlang Model
240(1)
Chi-Square Model
241(1)
Weibull Model
242(1)
Log-Normal Model
242(1)
Other Models
243(1)
Problems
243(7)
6 Radar Signals and Networks
250(37)
6.1 Real Radar Signals
250(3)
Waveform
250(1)
Spectrum
251(1)
Energy
252(1)
Autocorrelation Functions
253(1)
6.2 Complex Radar Signals
253(1)
Waveform
253(1)
Spectrum
253(1)
Autocorrelation Functions
254(1)
6.3 Analytic Radar Signals
254(4)
Spectrum and Waveform
254(1)
Hilbert Transforms
255(2)
Relationship to Complex Signal
257(1)
Energy in Analytic Signal
257(1)
Properties of Analytic Signals
258(1)
6.4 Duration, Frequency, and Bandwidth of Signals
258(3)
Relationships from Parseval's Theorem
258(1)
Mean Time and RMS Duration
259(1)
Mean Frequency and RMS Bandwidth
260(1)
6.5 Transmission of Signals through Networks
261(4)
Real Signal through Real Network
262(1)
Analytic Signal through Real Network
262(1)
Analytic Signal through Analytic Network
263(1)
Interpretation and Summary of Responses
264(1)
6.6 Matched Filter for Nonwhite Noise
265(3)
6.7 Matched Filter for White Noise
268(3)
Output Signal
269(1)
Discussion of Matched Filter
270(1)
6.8 Ambiguity Function
271(3)
Properties of the Matched Filter Response
273(1)
Properties of the Ambiguity Function
273(1)
6.9 Examples of Uncertainty Functions
274(4)
Rectangular Pulse
274(3)
Gaussian Pulse
277(1)
Problems
278(9)
7 Pulse Compression with Radar Signals
287(68)
7.1 Basic Concept
288(1)
7.2 Linear FM Pulse (Chirp)
289(8)
Matched Filter's Response
290(1)
Cuts through Response
291(2)
Spectrum of Transmitted Pulse
293(4)
7.3 Mismatch Filters for Sidelobe Control
297(5)
Dolph-Tchebycheff Filter
297(1)
Taylor Filter
297(3)
Other Filters
300(1)
Practical Filter Responses
301(1)
7.4 Signal Design for Low Sidelobes
302(5)
Stationary Phase Principle
302(4)
Signal Design Using Stationary Phase Approximation
306(1)
7.5 Example Signal Designs
307(3)
Moduli of Same Form
307(1)
Constant Envelope Pulse
308(1)
FM for Taylor Weighting
309(1)
Square Root of Taylor FM
310(1)
7.6 Other Pulse Compression Waveforms
310(8)
Other FM Laws for Single Pulses
311(2)
Even Quadratic FM
313(2)
Multiple Pulses (Burst Waveforms)
315(3)
7.7 Pulse Compression by Costas FM
318(12)
Background
319(1)
Costas FM
319(2)
Welch Construction
321(2)
Sidelobes in Costas FM
323(1)
Costas Design for Small Doppler Shifts
324(3)
Other Frequency Hop Codes
327(1)
Hyperbolic Frequency Hop Codes
328(2)
7.8 Pulse Compression by Binary Phase Coding
330(9)
General Concept
330(2)
Optimal Binary Codes
332(2)
Barker Codes
334(1)
Other Good Binary Codes
334(1)
Maximal-Length Sequences
335(2)
Other Periodic Binary Codes
337(2)
Biphase to Quadriphase Conversion
339(1)
7.9 Polyphase Coding for Pulse Compression
339(11)
Digital Linear FM
340(2)
Digital Nonlinear FM
342(1)
Frank Codes
342(3)
Ideal Periodic Sequences
345(1)
Polyphase Barker Sequences
346(1)
Other Codes and Some Comments
346(4)
Problems
350(5)
8 Radar Resolution
355(21)
8.1 Range Resolution
356(4)
Range Resolution Criterion
357(1)
Ideal Range Resolution
358(1)
Range Resolution Constants
358(2)
8.2 Doppler Frequency Resolution
360(2)
Doppler Frequency Resolution Criterion
360(1)
Ideal Doppler Frequency Resolution
360(1)
Doppler Frequency Resolution Constants
361(1)
8.3 Simultaneous Range and Doppler Resolution
362(1)
Resolution Criterion
362(1)
Ideal Resolution
363(1)
8.4 Resolution and RMS Uncertainty
363(2)
8.5 Overall Radar and Angle Resolutions
365(6)
Applicable Definitions
365(3)
Combined Radar Resolution Criterion
368(1)
Angle Resolution Constant
369(2)
Problems
371(5)
9 Radar Detection
376(69)
9.1 Bayes's Concepts
376(7)
Basic Definitions and Model
377(1)
Bayes's Concepts for Radar
378(2)
Optimum Radar Decision Rule
380(3)
9.2 Detection Criteria for Several Target Models
383(4)
Completely Known Target
383(1)
Steady Target with Random Initial Phase
384(1)
Steady Target with N Pulses Having Random Phases
385(1)
Targets That Fluctuate by N-Pulse Groups
386(1)
Targets That Fluctuate Pulse to Pulse
387(1)
9.3 Detection of Known Target
387(4)
Optimum Signal Processor
387(2)
System Performance
389(2)
9.4 Detection of Steady Target with Random Initial Phase
391(5)
Optimum Signal Processors
391(2)
Performance of Optimum System
393(3)
9.5 Detection of Steady Target with N Pulses Having Random Phases
396(6)
Optimum Detection Processor
396(1)
Simplified Detection Processor
396(2)
Detection Performance
398(4)
9.6 Detection of Targets with Group Fluctuations
402(6)
Detection Criterion and Approximate Detection Processor
402(1)
Performance with Group Fluctuations
403(1)
Swerling I Fluctuation Model
404(2)
Swerling III Fluctuation Model
406(2)
9.7 Detection of Targets with Pulse-to-Pulse Fluctuations
408(8)
Approximate Detection Processor
409(2)
Performance with Pulse-to-Pulse Fluctuations
411(3)
Swerling II Fluctuation Model
414(1)
Swerling IV Fluctuation Model
415(1)
9.8 Binary Detection
416(11)
Probabilities
420(4)
Optimum System for Nonfluctuating Target
424(1)
Fluctuating Targets
425(2)
9.9 Other Considerations in Classical Detection
427(6)
Noise and Target Models
431(1)
Other Detectors
431(1)
Constant False Alarm Rate (CFAR)
432(1)
Advanced Problems
432(1)
9.10 Detection in Clutter
433(4)
Basic Approach to Analysis
433(1)
Log-Normal Clutter
434(1)
Weibull Clutter
434(1)
K Clutter
435(1)
Rayleigh Mixture Model of Clutter
436(1)
Final Comments
437(1)
Problems
437(8)
10 Radar Measurements--Limiting Accuracy
445(16)
10.1 Parameter Estimation
445(4)
Basic Definitions and Model
446(1)
Estimators
447(1)
Properties of Estimators
448(1)
10.2 Cramer-Rao Bound
449(4)
Single Parameter Cramer-Rao Bound
449(2)
Multiple Parameter Cramer-Rao Bound
451(2)
10.3 Limiting Accuracies of Radar Measurements
453(5)
Amplitude Measurement Accuracy
454(1)
Phase Measurement Accuracy
454(1)
Doppler Frequency Measurement Accuracy
455(1)
Delay Measurement Accuracy
456(1)
Spatial Angle Measurement Accuracy
457(1)
Problems
458(3)
11 Range Measurement and Tracking in Radar
461(29)
11.1 Range from Delay Measurements
461(1)
11.2 Intuitive Delay Measurement Using Time Gates
462(3)
An Intuitive Delay Measurement Method
462(3)
Time Discriminator System
465(1)
11.3 Optimum Delay Measurement System
465(4)
Optimum Accuracy
466(3)
Optimum Time Gate
469(1)
11.4 Optimum Wideband Receiver
469(3)
Optimum Gate
470(1)
Signal and Noise Responses
470(1)
Noise Performance
471(1)
11.5 Optimum Receiver with Matched Filter
472(2)
Time Discriminator's Inputs
472(1)
Optimum Time Gate
473(1)
System Responses
474(1)
11.6 Optimum Receiver with Differentiator
474(3)
Signal Output
475(1)
Noise Response
475(1)
Bound on Measurement Error
476(1)
11.7 Practical Delay Measurement and Tracking
477(7)
Systems with a Coherent Detector
477(2)
Systems with an Envelope Detector
479(4)
Early-Late Gate System
483(1)
Problems
484(6)
12 Frequency (Doppler) Measurement and Tracking
490(45)
12.1 Definition of Optimum Frequency Measurement
491(7)
Problem Definition
491(1)
Optimum Doppler Measurement Filter Criteria
492(2)
Optimum Filter's Accuracy
494(3)
Accuracy for White Noise
497(1)
12.2 Optimum Filter for Doppler Measurements
498(2)
Optimum Filter for Nonwhite Noise
498(1)
Optimum Filter for White Noise
499(1)
12.3 Some Practical Considerations
500(6)
Effect of Filter Mismatch on Accuracy
500(1)
Frequency Discriminator Approximation
501(5)
12.4 Practical Noncoherent Implementations for Doppler Measurement
506(5)
Single-Pulse Measurement--Initial Estimate Available
506(2)
Single-Pulse Measurement--No Initial Doppler Estimate
508(2)
Doppler Tracking by Continuous Measurements
510(1)
12.5 Optimum Coherent Doppler Measurements
511(5)
Properties of N Coherent Pulses
511(3)
Optimum Filter for N Pulses
514(1)
Accuracy of Optimum Filter
515(1)
12.6 Practical Coherent Implementations for Doppler Measurement
516(5)
Transversal Filter
516(1)
Optimum Filter
517(1)
Single Waveform Measurements with Initial Estimate
518(1)
Doppler Measurement with Poor or No Initial Estimate
518(3)
Doppler Tracking
521(1)
12.7 Filter Mismatch and Fine-Line Measurements
521(5)
Effects of Filter Mismatch
521(1)
Use of an Ungated Fine-Line Filter
522(3)
Gated Fine-Line Filters
525(1)
Problems
526(9)
13 Angle Measurement and Tracking by Conical Scan
535(22)
13.1 Geometry and System Definition
535(4)
Geometry
537(1)
Conical Scan System
538(1)
13.2 Signal Analysis
539(4)
13.3 Noise Analysis
543(2)
13.4 Accuracy
545(4)
13.5 Example of a Gaussian Pattern
549(4)
Most Important Results
549(1)
Alternative Development
550(3)
Problems
553(4)
14 Angle Measurement and Tracking by Monopulse
557(72)
14.1 Some Preliminary Definitions
558(5)
Received Signal
560(3)
Output Signal and Noise
563(1)
14.2 Optimum Monopulse System
563(6)
Definition of Optimality
563(2)
Optimum System for Nonwhite Noise
565(3)
Optimum System for White Noise
568(1)
14.3 Antenna Mismatch in Monopulse
569(10)
Slope Parameters
570(1)
Other Slope Constants
570(1)
Error Pattern as Reference Pattern Derivative
571(4)
Error Distribution as Reference Distribution Derivative
575(4)
14.4 Practical Monopulse Concepts
579(3)
Kirkpatrick's Monopulse
579(1)
Rhodes's Monopulse
579(1)
Types of Monopulse
580(1)
Practical Pattern Representation
580(1)
Angle-Sensing Ratios
581(1)
14.5 Amplitude-Sensing Monopulse
582(17)
Multiplicative Sensing Ratio
582(2)
Additive Sensing Ratio
584(5)
Pattern Realizations
589(3)
Four-Horn Difference Patterns as Derivative Pattern Approximations
592(3)
Overall Amplitude-Sensing Monopulse System
595(4)
14.6 Phase-Sensing Monopulse
599(7)
Multiplicative Sensing Ratio
600(2)
Additive Sensing Ratio
602(1)
Overall Phase-Sensing Monopulse System
603(3)
14.7 Rhodes's Other Forms of Monopulse
606(1)
Monopulse Classifications
606(1)
Rhodes's Eight Types and Classes of Monopulse
607(1)
14.8 General Amplitude and Phase Monopulse
607(8)
Pattern Representations by Taylor's Expansions
607(3)
General Monopulse for One Target
610(1)
Three-Beam Amplitude Monopulse
611(3)
Three-Beam Phase Monopulse
614(1)
General Monopulse for One Target and Factorable Patterns
614(1)
14.9 Conopulse--A Hybrid System
615(5)
Conopulse Concept
615(1)
Realization of Two-Pattern Scanning
616(1)
MOCO System
617(1)
Measurement Error Variance
618(2)
Problems
620(9)
15 Digital Signal Processing in Radar
629(37)
15.1 Fundamental Concepts
630(2)
A/D Conversion
630(1)
D/D Processing
631(1)
D/A Conversion
631(1)
Practical Considerations
631(1)
15.2 Sampling Theorems
632(5)
Baseband Sampling Theorem
633(2)
Other Sampling Theorems
635(1)
I and Q Sampling
635(2)
15.3 Discrete-Time Sequences
637(3)
Basic Definitions
637(1)
Examples of DT Sequences
638(2)
15.4 Properties of Discrete-Time Sequences
640(3)
Energy and Average Power
640(1)
Symmetry
641(1)
Shifting-Delay
641(1)
Products and Sums of Sequences
642(1)
Sampling
642(1)
Periodic Sequences
642(1)
Scaling
643(1)
15.5 Fourier Transforms of DT Sequences
643(7)
Discrete-Time Fourier Transform
643(2)
Properties of the DTFT
645(1)
Inverse Discrete-Time Fourier Transform
646(1)
Discrete Fourier Transform
646(1)
Relationship of DFT to DTFT
647(1)
Proof of IDFT
648(1)
Periodic Sequences and DFTs
648(1)
Zero Padding
649(1)
15.6 Properties of the DFT
650(1)
Linearity
650(1)
Time and Frequency Shifting
650(1)
Conjugation
651(1)
Time Reversal
651(1)
Convolution
651(1)
15.7 Discrete-Time Systems
651(4)
General Comments
652(1)
System Descriptions
653(2)
15.8 System Descriptions in the Sequence Domain
655(2)
Impulse Response
655(1)
Cascaded and Parallel Systems
656(1)
Causality and Linearity
656(1)
Stability
656(1)
Invertibility
656(1)
Finite Impulse Response Systems
657(1)
Infinite Impulse Response Systems
657(1)
15.9 System Descriptions in the Transform Domain
657(4)
Transforms
658(1)
System Transfer Function
658(1)
Use of the FFT in Processing
659(2)
15.10 Summary and Comments
661(1)
Problems
661(5)
APPENDIX A Review of the Impulse Function
666(17)
A.1 Introduction
666(3)
Background
666(1)
Generalized Functions
667(2)
A.2 Basic Definitions
669(5)
Impulse as a Generalized Function
670(1)
Impulse Derivatives as Generalized Functions
671(2)
Unit-Step as a Generalized Function
673(1)
Asymmetrical Impulse and Unit-Step Functions
673(1)
Multidimensional Impulses
674(1)
A.3 Properties of Impulse Functions
674(4)
Definition of Impulse
675(1)
Definition of Derivatives of Impulse
675(1)
Linearity
675(1)
Fourier Transforms of Impulses
675(1)
Fourier Transforms of Derivatives of Impulses
676(1)
Functional Argument
677(1)
Shifting
677(1)
Scaling
677(1)
Symmetry
677(1)
Area
678(1)
Duration
678(1)
Product of Function and Impulse
678(1)
Product of Function and Derivative of Impulse
678(1)
Convolution of Two Impulses
678(1)
Problems
678(5)
APPENDIX B Review of Deterministic Signal Theory
683(17)
B.1 Fourier Series
683(3)
Real Fourier Series
683(1)
Complex Fourier Series
684(1)
Fourier Series of Complex Waveforms
685(1)
B.2 Properties of Fourier Series
686(2)
Even and Odd Functions
686(1)
Symmetry Decomposition
687(1)
Integration and Differentiation
687(1)
Average Power
687(1)
B.3 Fourier Transforms
688(1)
B.4 Properties of Fourier Transforms
689(2)
Linearity
690(1)
Time and Frequency Shifting
690(1)
Scaling
690(1)
Duality
690(1)
Differentiation
690(1)
Integration
690(1)
Conjugation and Sign Change
691(1)
Convolution
691(1)
Correlation
691(1)
Parseval's Theorem
691(1)
Area
691(1)
B.5 Signal Response of Networks
691(1)
B.6 Multidimensional Fourier Transforms
692(1)
B.7 Properties of Two-Dimensional Fourier Transforms
693(1)
Linearity
693(1)
Time and Frequency Shifting
693(1)
Differentiation
693(1)
Convolution
693(1)
Correlation
694(1)
Parseval's Theorem
694(1)
Problems
694(6)
APPENDIX C Review of Random Signal Theory
700(28)
C.1 Basic Topics and Probability
700(3)
Sample Spaces
700(1)
Events
701(1)
Probability and Axioms
701(1)
Joint and Conditional Probabilities
702(1)
Statistical Independence
702(1)
C.2 Random Variables, Distributions, and Densities
703(4)
Random Variables
703(1)
Distribution and Density Functions
703(1)
Conditional Distribution and Density Functions
704(1)
Multiple Random Variables
705(2)
Statistical Independence
707(1)
C.3 Statistical Averages
707(3)
Average of a Function of Random Variables
707(1)
Moments
708(1)
Characteristic Functions
709(1)
C.4 Gaussian Random Variables
710(2)
C.5 Random Signals and Processes
712(4)
Random Process Concept
712(1)
Correlation Functions
713(1)
Stationarity
714(2)
Time Averages
716(1)
C.6 Power Spectra
716(3)
Power Density Spectrum
716(1)
Cross-Power Density Spectrum
718(1)
C.7 Network Responses to Random Signals
719(2)
Fundamental Result
719(1)
Temporal Descriptions of Network Response
720(1)
Spectral Descriptions of Network Response
720(1)
C.8 Bandpass Random Processes
721(1)
Problems
722(6)
APPENDIX D Useful Mathematical Formulas
728(8)
D.1 Trigonometric Identities
728(1)
D.2 Indefinite Integrals
729(3)
Rational Algebraic Functions
729(2)
Trigonometric Functions
731(1)
Exponential Functions
732(1)
Bessel Functions
732(1)
D.3 Definite Integrals
732(2)
D.4 Infinite Series
734(1)
D.5 Finite Series
734(2)
APPENDIX E Gaussian, Q, and Error Functions
736(4)
E.1 Gaussian Density and Distribution
736(2)
E.2 Q Function
738(1)
E.3 Error and Complementary Error Functions
738(2)
Bibliography 740(19)
Index 759


PEYTON Z. PEEBLES, JR., is Professor Emeritus of Electrical and Computer Engineering at the University of Florida. His teaching, research, and industrial experience span three decades. Dr. Peebles has written more than fifty papers, mainly on radar-related topics, and a number of well-received textbooks, including Principles of Electrical Engineering; Digital Communication Systems; Probability, Random Variables, and Random Signal Principles; and Communication System Principles.