Waveform Design and Diversity for Advanced Radar Systems

  • 8h 59m
  • Antonio De Maio, Fulvio Gini, Lee Patton
  • Institution of Engineering and Technology
  • 2012

In recent years, various algorithms for radar signal design, that rely heavily upon complicated processing and/or antenna architectures, have been suggested. These techniques owe their genesis to several factors, including revolutionary technological advances (new flexible waveform generators, high speed signal processing hardware, digital array radar technology, etc.) and the stressing performance requirements, often imposed by defense applications in areas such as airborne early warning and homeland security.

Increasingly complex operating scenarios calls for sophisticated algorithms with the ability to adapt and diversify dynamically the waveform to the operating environment in order to achieve a performance gain over classic radar waveforms. Thus, for example, a modern multifunction phased array radar can adapt the waveform, dwell time and update interval according to the nature of the particular target, e.g. the likely type of target, the clutter environment, the signal-to-noise ratio, the threat that it may represent and the degree to which it is maneuvering.

This is essentially the subject of waveform diversity. This new flexibility demands new ways of characterising waveform properties and optimising waveform design. This ability is very critical in increasing our objective performance as the ability will match the transmission waveform to the transmission environment and the sensing objective.

This is the first book, in which several quintessential concepts inherent to the application of waveform design and diversity for advanced radar detection, tracking, and classification are brought together.

About the Author

Antonio De Maio is an Associate Professor at the University of Naples "Federico II". His research interest lies in the field of statistical signal processing, with emphasis on radar detection and convex optimization applied to radar signal processing.

Fulvio Gini is Full Professor at the University of Pisa. His research interests include modeling and statistical analysis of radar clutter data, non-Gaussian signal detection and estimation, parameter estimation and data extraction from multichannel interferometric SAR data.

Lee K. Patton is a senior research engineer at the Matrix Research & Engineering, Dayton (OH), where he conducts research in radar signal processing and waveform design.

In this Book

  • Waveform Diversity—A Way Forward to the Future of the Radar
  • Classical Radar Waveform Design
  • Information Theory and Radar Waveform Design
  • Multistatic Ambiguity Function and Sensor Placement Strategies
  • MIMO Radar Waveform Design
  • Passive Bistatic Radar Waveforms
  • Biologically Inspired Waveform Diversity
  • Continuous Waveforms for Automotive Radar Systems
  • Multistatic and Waveform-Diverse Radar Pulse Compression
  • Optimal Channel Selection in a Multistatic Radar System
  • Waveform Design for Non-Cooperative Radar Networks
  • Waveform Design Based on Phase Conjugation and Time Reversal
  • Space-Time Diversity for Active Antenna Systems
  • Autocorrelation Constraints in Radar Waveform Optimization for Detection
  • Adaptive Waveform Design for Radar Target Classification
  • Adaptive Waveform Design for Tracking
  • Adaptive Polarization Design for Target Detection and Tracking
  • Knowledge-Aided Transmit Signal and Receive Filter Design in Signal-Dependent Clutter
  • Notation