Peter Willett

Office: ITE 353
Phone: (860) 486-2195
Email: peter.willett@uconn.edu

Multi-Static SonarĀ Target TrackingĀ Simulation Code and Description:

All are invited to examine and to work with this multi-static sonar simulator and the six simulation scenarios. Please check back periodically for code updates. Much credit here goes to Steve Schoenecker.

Tutorial on the Role of Biased (and Debiased) Measurements in Dynamic Estimation:

These slides are from Steve Bordonaro’s PhD. They are a nice elaboration of the effect of biased measurements (for example, of the “banana” shaped measurement pdf for delay / angle measurements) and the surprising things that happen when one blindly “de-biases” them.

Open Positions:

I am always looking for high-quality PhD students interested in detection, fusion and tracking problems.


  • B.A.S., Engineering Science, University of Toronto, 1982
  • M.E., Electrical Engineering, Princeton University, 1983
  • M.Sc., Electrical Engineering, Princeton University, 1984
  • Ph.D., Electrical Engineering, Princeton University, 1986


  • 278 journal papers, 502 conference proceedings papers
  • 9 book chapters, 1 book
  • 5 patents
  • 24 PhD students graduated
  • $14 M total funding
  • h-index is 64 (see google scholar)

Research Interests:
My major area of research has been detection theory, which leads to a reasonable expertise in the fields of statistical communication theory and statistical signal processing.

Within detection theory my most recent thrust area has been decentralized detection which is known variously as distributed detection and data fusion, and involves the integration of groups of sensors (radar, sonar, etc.) into a high performance unit. Additionally, I have been involved in research in modelling of nongaussian noise processes, with applications to undersea observations and atmospheric observations.

I have also had activity in the detection and estimation of harmonic sets, which effectively means the identification of rotating machinery; in robust detection, which is the design of hypothesis tests when noise/signal conditions are only partially known, and (on a theoretical level) in optical signal processing.

Other research interests: statistical communication theory.


  • Fellow of Institute of Electrical and Electronics Engineers (IEEE)
  • Program Chair:
    • 1999 Fusion Conference, Sunnyvale CA
    • 2003 IEEE Systems, Man & Cybernetics Conference, Washington DC
    • 2012 IEEE SPS Sensor Array and Multichannel Conference, Hoboken NJ
    • 2019 IEEE SPS GlobalSip, Ottawa ONT
    • 2022 Fusion Conference, Charleston SC
  • General/Executive Chair:
    • 2006 Fusion Conference, Florence Italy
    • 2008 Fusion Conference, Cologne Germany
    • 2011 Fusion Conference, Chicago IL
    • 2018 IEEE SPS Sensor Array and Multichannel Workshop, Sheffield UK
  • Other Major Conference Chairs
    • Publications Chair, 2018 FUSION, Cambridge UK
    • Tutorials Chair, 2021 ICASSP, Toronto ONT
  • IEEE AESS Board of Governors, 2004-2009, 2011-2016, 2018-
  • IEEE AESS Vice President for Publications 2012-2014
  • ISIF Board of Governors, 2010-2012
  • Editor-in-chief, IEEE Transactions on AES, 2006-2011
  • Editor-in-chief, IEEE Signal Processing Letters, 2014-2016
  • Editor-in-chief, IEEE AES Magazine, 2018-2020

Full Resume

Below are some course notes that I have developed. I hope they are useful, please feel free to download them. If you find an error – or even a typo – please let me know by email.

Advanced Signal Processing Lecture Notes

Single File Full Course Notes of Advanced Signal Processing (Graduate)

Single File Full Course Notes of Signal Detection (Graduate)

Single File Full Course Notes of Analog Communications (Senior Level)

Single File Full Course Notes of Digital Communications and Networks (Senior Level)

Single File Full Course Notes of Digital Signal Processing (Senior/Grad Level)