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Signal Design for Modern Radar Systems / Mohammad Alaee-Kerahroodi [and three others].

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Format:
Book
Author/Creator:
Alaee-Kerahroodi, Mohammad, author.
Language:
English
Subjects (All):
Radar.
Signal processing.
Physical Description:
1 online resource (379 pages)
Edition:
First edition.
Place of Publication:
Boston, MA : Artech House, [2023]
Summary:
This book gives you a comprehensive overview of key optimization tools that can be used to design radar waveforms and adaptive signal processing strategies under practical constraints -- strategies such as power method-like iterations, coordinate descent, and majorization-minimization - that help you to meet the more and more stressing sensing system requirements.
Contents:
Intro
Introduction
Practical Signal Design
The Why
The How
The What
Radar Application Focus Areas
Designing Signals with Good Correlation Properties
Signal Design to Enhance SINR
Spectral Shaping and Coexistence with Communications
Automotive Radar Signal Processing and Sensing for Autonomous Vehicles
What this Book Offers
References
Convex and Nonconvex Optimization
Optimization Algorithms
Gradient Descent Algorithm
Newton's Method
Mirror Descent Algorithm
Power Method-Like Iterations
Majorization-Minimization Framework
Block Coordinate Descent
Alternating Projection
Alternating Direction Method of Multipliers
Summary of the Optimization Approaches
Conclusion
PMLI
The PMLI Formulation
Fixed-Energy Signals
Unimodular or Constant-Modulus Signals
Discrete-Phase Signals
PAR-Constrained Signals
Convergence of Radar Signal Design
PMLI and the Majorization-Minimization Technique: Points of Tangency
Application of PMLI
A Toy Example: Synthesizing Cross-Ambiguity Functions
PMLI Application with Dinkelbach's Fractional Programming
Doppler-Robust Radar Code Design
Radar Code Design Based on Information-Theoretic Criteria
MIMO Radar Transmit Beamforming
Matrix PMLI Derivation for (3.71) and (3.75)
Exercise Problems
MM Methods
System Model
MM Method
MM Method for Minimization Problems
MM Method for Minimax Problems
Sequence Design Algorithms
ISL Minimizers
PSL Minimizers
Numerical Simulations
BCD Method
The BCD Method
Rules for Selecting the Index Set
Convergence of BCD
BSUM: A Connection Between BCD and MM
Applications
Application 1: ISL Minimization
Application 2: PSL Minimization.
Application 3: Beampattern Matching in MIMO Radars
Appendix 5A
Appendix 5B
Appendix 5C
Other Optimization Methods
System Model in the Spatial Domain
System Model in the Spectrum Domain
Problem Formulation
Optimization Approach
Convergence
Computational Complexity
Numerical Results
Convergence Analysis
Performance Evaluation
The Impact of Similarity Parameter
The Impact of Zero Padding
Appendix 6A
Deep Learning for Radar
Deep Learning for Guaranteed Radar Processing
Deep Architecture for Radar Processing
Numerical Studies and Remarks
Deep Radar Signal Design
The Deep Evolutionary Cognitive Radar Architecture
Performance Analysis
Waveform Design in 4-D Imaging MIMO Radars
Beampattern Shaping and Orthogonality
Design Procedure Using the CD Framework
Solution for Limited Power Constraint
Solution for PAR Constraint
Solution for Continuous Phase
Solution for Discrete Phase
Numerical Examples
Contradictory Nature of Spatial and Range ISLR
Trade-Off Between Spatial and Range ISLR
The Impact of Alphabet Size and PAR
Appendix 8A
Appendix 8B
Appendix 8C
Appendix 8D
Appendix 8E
Waveform Design for Spectrum Sharing
Scenario and Signal Model
Communication Link and CSI
Transmit Signal Model
Signal Model at Targets
Backscatter Signal Model
Clutter Model
Signal Model at ACV
CSI Exploitation
Performance Indicators
ACV SNR Evaluation
SCNR at JRCV
Waveform Design and Optimization Formulation
Design Methodology
Optimization Problem for ACV
Formulation of JRC Waveform Optimization.
Solution to the Optimization Problem
JRC Algorithm Design
Complexity Analysis
Range-Doppler Processing
Convergence Behavior of the JRC Algorithm
Performance Assessment at the Radar Receiver
Performance Assessment at the Communications Receiver
Trade-Off Between Radar and Communications
Appendix 9A
Appendix 9B
Appendix 9C
Doppler-Tolerant Waveform Design
Optimization Method
Extension of Other Methods to PECS
Extension of MISL
Extension of CAN
Norm Minimization
Doppler-Tolerant Waveforms
Comparison with the Counterparts
Appendix 10A
Waveform Design for STAP in MIMO Radars
Transmit Sequence and Receive Filter Design
Optimum Filter Design
Code Optimization Algorithm
Discrete Phase Code Optimization
Continuous Phase Code Optimization
Cognitive Radar: Design and Implementation
Cognitive Radar
The Prototype Architecture
LTE Application Framework
Spectrum Sensing Application
MIMO Radar Prototype
Experiments and Results
Appendix 12A
Appendix 12B
Computational Efficiency
Waveform Diversity
Performance Trade-Off
About the Authors
Index.
Notes:
Includes bibliographical references and index.
Description based on print version record.
ISBN:
9781523162437
1523162430
9781630818937
1630818933

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