Signal Design for Modern Radar Systems

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Alaee-Kerahroodi, Mohammad
Otros Autores: Soltanalian, Mojtaba, Babu, Prabhu
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Norwood : Artech House, 2022.
Temas:
Radar.
radar.
Radar
Electronic books.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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
  • References
  • 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)
  • Conclusion
  • Exercise Problems
  • References
  • 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
  • Conclusion
  • Exercise Problems
  • References
  • 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
  • Conclusion
  • Exercise Problems
  • References
  • Appendix 5A
  • Appendix 5B
  • Appendix 5C
  • Other Optimization Methods
  • System Model
  • 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
  • Conclusion
  • References
  • 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
  • Conclusion
  • Exercise Problems
  • References
  • Waveform Design in 4-D Imaging MIMO Radars
  • Beampattern Shaping and Orthogonality
  • System Model
  • Problem Formulation
  • Design Procedure Using the CD Framework
  • Solution for Limited Power Constraint

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