Beamforming : sensor signal processing for defence applications /

"Beamforming: Sensor Signal Processing for Defence Applications deals with adaptive sensor array processing, and, in particular, superresolution beamformers and their applications to radar. In this book, both narrowband and wideband beamformers will be presented as well as space-only and spatio...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Manikas, Athanassios (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London ; Hackensack, NJ : Imperial College Press, [2015]
Colección:Communications and signal processing (London, England) ; v. 5.
Temas:
Radar transmitters.
Beam optics.
Radar > Military applications.
Radar > Émetteurs.
Optique des faisceaux.
Radar > Applications militaires.
TECHNOLOGY & ENGINEERING > Military Science.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Contents
  • Preface
  • Acknowledgments
  • List of Notations
  • 1. Space-Time Adaptive Beamforming Algorithms for Airborne Radar Systems
  • 1.1 Introduction
  • 1.2 Pulsed Doppler radar: System and signal models
  • 1.3 Conventional beamforming
  • 1.4 Low-rank beamforming algorithms
  • 1.4.1 Eigenvalue-decomposition-based algorithms
  • 1.4.2 Krylov subspace-based algorithms
  • 1.4.3 Joint iterative optimization (JIO)-based algorithms
  • 1.4.4 Joint interpolation, decimation and filtering (JIDF)-based algorithms
  • 1.5 Sparsity-aware beamforming algorithms
  • 1.6 Knowledge-aided beamforming algorithms1.7 Simulations
  • 1.8 Concluding remarks
  • References
  • 2. Transmit Beamforming for Forward-Looking Space-Time Radars
  • 2.1 Introduction
  • 2.2 Principles of STAP
  • 2.2.1 Array response vectors
  • 2.2.2 Scatterer response
  • 2.2.3 Clutter
  • 2.2.4 Optimum STAP receiver processing
  • 2.2.5 Side-looking radar
  • 2.2.6 Forward-looking radar
  • 2.3 Adaptive transmit diversity STAP
  • 2.3.1 Signal model
  • 2.3.2 Space-time illumination patterns
  • 2.3.3 3D Doppler compensation
  • 2.4 Ambiguous range transmit nulling2.4.1 Angular location of ambiguous ranges
  • 2.4.2 Beampattern design
  • 2.4.3 Simulation results
  • 2.5 Summary
  • References
  • 3. Digital Beamforming for Synthetic Aperture Radar
  • 3.1 SAR radarmain parameters
  • 3.2 SISO SAR
  • 3.2.1 Stripmap SAR
  • 3.2.2 ScanSAR
  • 3.2.3 Spotlight SAR
  • 3.2.4 Discrete time modelling
  • 3.3 SIMO SAR
  • 3.3.1 SIMO SAR system mathematical modelling
  • 3.3.2 Discrete time modelling
  • 3.4 Beamforming in the elevation and cross-range direction using SIMO SAR
  • 3.4.1 SIMO SAR parameter design3.4.2 Beamforming in the elevation direction
  • 3.4.3 Beamforming in the cross-range direction
  • 3.4.3.1 SIMO SAR examples
  • 3.5 Target parameter estimation using SIMO SAR
  • 3.5.1 Round trip delay estimation
  • 3.5.2 Joint direction of arrival and slant range estimation
  • 3.5.3 Joint direction of arrival and power estimation
  • 3.6 Summary and conclusions
  • References
  • 4. Arrayed MIMO Radar: Multi-target Parameter Estimation for Beamforming
  • 4.1 Introduction
  • 4.2 Arrayed MIMO radar received signal model
  • ""4.3 Space arrayed MIMO radar: Target echoes arriving with equal delays""""4.3.1 Least squares""; ""4.3.2 Caponâ€?s method""; ""4.3.3 Amplitude and phase estimation (APES)""; ""4.3.4 Discussion""; ""4.3.5 Comparative studies and computer simulation results""; ""4.3.5.1 Finite averaging effects""; ""4.3.5.2 Noise effects (variable levels of PTÏ?2n)""; ""4.4 Arrayed MIMO radar: Target echoes with different delays""; ""4.4.1 Spatiotemporal arrayed MIMO radar: Doppler, delay, DOA and path gains estimation""; ""4.4.1.1 Subspace partitioning and delay estimation""

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