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