Beamforming: Sensor Signal Processing For Defence Applications (eBook)

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  • 67,814 Words
  • 312 Pages

Beamforming: Sensor Signal Processing for Defence Applications presents a range of important research contributions concerned with sensor array signal processing and, in particular, with the superresolution beamformers fundamental to many civilian and defence applications. Both space and space-time (STAP) beamforming algorithms and their application to radar systems are considered with emphasis given to "look-down" airborne radars, synthetic aperture radar (SAR), arrayed MIMO radar and a number of common wake-wave detection algorithms for two-dimensional SAR imagery. Furthermore, ocean towed arrays, which find applications in a variety of areas such as defence, oil and gas exploration, and geological and marine life studies, are also considered paying particular attention to receiver positional uncertainties resulting from the array's flexible structure. Array geometrical and electrical uncertainties, design of auto-calibration algorithms, beamforming "pointing" error uncertainties and robustification issues are also presented.

This book is self-contained and unified in its presentation, and comprehensively covers some of the classic and fundamental models of beamforming for sensor signal processing. It is suitable as an advanced textbook for graduate students and researchers in the area of signal processing, as well as a reference book for engineers in the defence industry.

Contents:
  • Space-Time Adaptive Beamforming Algorithms for Airborne Radar Systems (Rodrigo de Lamare)
  • Transmit Beamforming for Forward-Looking Space-Time Radars (Mathini Sellathurai and David Wilcox)
  • Digital Beamforming for Synthetic Aperture Radar (Karen Mak and Athanassios Manikas)
  • Arrayed MIMO Radar: Multi-target Parameter Estimation for Beamforming (Harry Commin, Kai Luo and Athanassios Manikas)
  • Beamforming for Wake Wave Detection and Estimation — An Overview (Karen Mak and Athanassios Manikas)
  • Towed Arrays: Channel Estimation, Tracking and Beamforming (Vidhya Sridhar, Marc Willerton and Athanassios Manikas)
  • Array Uncertainties and Auto-calibration (Marc Willerton, Evangelos Venieris and Athanassios Manikas)
  • Robust Beamforming to Pointing Errors (Jie Zhuang and Athanassios Manikas)

Readership: Postgraduate students and researchers working in the area of signal processing as well researchers working in the defence industry. The UDRC runs a series of short courses in signal processing for PhD students and industrial researchers and this book is recommended reading.
Key Features:
  • Unique treatment of beamforming
  • Unique modelling techniques using array processing of modern radar systems suchs as MIMO, SAR, etc.
  • New material related to the research carried out at UDRC. This book is considered as one of the academic outcomes of the UDRC in Signal Processing

Beamforming: Sensor Signal Processing for Defence Applications presents a range of important research contributions concerned with sensor array signal processing and, in particular, with the superresolution beamformers fundamental to many civilian and defence applications. Both space and space-time (STAP) beamforming algorithms and their application to radar systems are considered with emphasis given to "look-down" airborne radars, synthetic aperture radar (SAR), arrayed MIMO radar and a number of common wake-wave detection algorithms for two-dimensional SAR imagery. Furthermore, ocean towed arrays, which find applications in a variety of areas such as defence, oil and gas exploration, and geological and marine life studies, are also considered paying particular attention to receiver positional uncertainties resulting from the array's flexible structure. Array geometrical and electrical uncertainties, design of auto-calibration algorithms, beamforming "pointing" error uncertainties and robustification issues are also presented.

This book is self-contained and unified in its presentation, and comprehensively covers some of the classic and fundamental models of beamforming for sensor signal processing. It is suitable as an advanced textbook for graduate students and researchers in the area of signal processing, as well as a reference book for engineers in the defence industry.

Contents:
  • Space-Time Adaptive Beamforming Algorithms for Airborne Radar Systems (Rodrigo de Lamare)
  • Transmit Beamforming for Forward-Looking Space-Time Radars (Mathini Sellathurai and David Wilcox)
  • Digital Beamforming for Synthetic Aperture Radar (Karen Mak and Athanassios Manikas)
  • Arrayed MIMO Radar: Multi-target Parameter Estimation for Beamforming (Harry Commin, Kai Luo and Athanassios Manikas)
  • Beamforming for Wake Wave Detection and Estimation — An Overview (Karen Mak and Athanassios Manikas)
  • Towed Arrays: Channel Estimation, Tracking and Beamforming (Vidhya Sridhar, Marc Willerton and Athanassios Manikas)
  • Array Uncertainties and Auto-calibration (Marc Willerton, Evangelos Venieris and Athanassios Manikas)
  • Robust Beamforming to Pointing Errors (Jie Zhuang and Athanassios Manikas)

Readership: Postgraduate students and researchers working in the area of signal processing as well researchers working in the defence industry. The UDRC runs a series of short courses in signal processing for PhD students and industrial researchers and this book is recommended reading.
Key Features:
  • Unique treatment of beamforming
  • Unique modelling techniques using array processing of modern radar systems suchs as MIMO, SAR, etc.
  • New material related to the research carried out at UDRC. This book is considered as one of the academic outcomes of the UDRC in Signal Processing


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by Athanassios Manikas

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