Advances in Waveform Agile Sensor Processing

Organizers: Antonia Papandreou-Suppappola and Darryl Morrell, Arizona State University

The area of signal processing has recently been instrumental in providing new advances in integrated sensor processing and sensor networks for the development of high performance sensor systems. A capability that is increasingly important within these systems is the design and configuration of waveforms to allow sensors to change modalities and adapt to different environments and scenarios. For example, modern agile sensor systems can provide high resolution images, detect fast moving objects, and can change waveforms from pulse to pulse. Such mode-switchable and configurable sensors can permit intelligent waveform synthesis and analysis, and can greatly improve overall system performance. Applications of waveform agile sensor design include wireless sensor networks, adaptive radar and beamforming, and tracking, detection and navigation.

Overview lecture:
  Title: Waveform-Agile Sensing: Opportunities and Challenges
  Author: Douglas Cochran, DARPA Defense Science Office

Regular lectures:

• Title: Non-myopic Approaches to Scheduling Agile Sensors for Multitarget Detection, Tracking, and Identification
  Authors: C. Kreucher and A. O. Hero III, University of Michigan
• Title: Waveforms and Adaptive Radar
  Authors: S. Suvorova, S. Howard, B. La Scala and B. Moran, University of Melbourne
• Title: Hybrid Transmit Waveform Design Based on Beamforming and Orthogonal Space-Time Block Coding
  Authors: G. Dietl, J. Wang, P. Ding, M. D. Zoltowski, D. J. Love, and W. Utschick, Purdue University
• Title: Relationships Between Radar Ambiguity and Coding Theory
  Authors: S. Howard, R. Calderbank, B. Moran, H. Schmitt, D. Waagen, and C. Savage, Raytheon Missile Systems
• Title: Time-varying Waveform Selection and Configuration for Agile Sensors in Tracking Applications
  Authors: S. P. Sira, A. Papandreou-Suppappola and D. Morrell