Apr
28
Date: 28-April-2026
Time: 12:30 PM ET (New York Time)
Presenter: Dr. Lee Swindlehurst
About this topic:
Research on integrated sensing and communications (ISAC) systems has typically modeled the impact of large objects in the field of view using point clouds or simple shadow-based representations. This results in over-parameterized models that provide limited information about the environment without further complicated post-processing.
In this talk our presenter will discuss two approaches that attempt to mitigate this shortcoming. In the first, they propose a parametric scattering model (PSM) that decouples target geometry from electromagnetic scattering characteristics, representing extended target objects with only six nonlinear geometric parameters and linear radar cross-section (RCS) coefficients. They derive a hybrid Bayesian Cramér-Rao bound for joint estimation of azimuth, elevation, and range-related parameters, introducing range sidelobe compression constraints to formulate an ambiguity-aware transmit beamforming design. In the second, they discuss the use of simple diffraction-based parametric models for describing object blockages that provide information such as object range/angular position and that provide a more concise representation that simplifies the channel estimation. They further consider algorithms and performance bounds for joint direction-of-arrival (DOA) and blockage parameter estimation to demonstrate the potential of this approach.
About the presenter:
Lee Swindlehurst received the B.S. and M.S. degrees in electrical engineering from Brigham Young University (BYU), and the Ph.D. degree in electrical engineering from Stanford University in 1985, 1986 and 1991 respectively.
He is currently a distinguished Professor and Department Chair with the Department of Electrical Engineering and Computer Science at the University of California Irvine. He was with the Department of Electrical and Computer Engineering at BYU from 1990-2006. From 2006-07, he was Vice President of Research for ArrayComm LLC in San Jose, California. His research focuses on array signal processing for radar, wireless communications, and biomedical applications.
Dr. Swindlehurst is an IEEE Life Fellow, a former Hans Fischer Senior Fellow at the Technical University of Munich, and a Foreign Member of the Royal Swedish Academy of Engineering Sciences (IVA). He received the 2000 IEEE W. R. G. Baker Prize Paper Award, the 2006 IEEE Communications Society Stephen O. Rice Prize in the Field of Communication Theory, the 2006, 2010 and 2021 IEEE Signal Processing Society’s Best Paper Awards, the 2017 IEEE Signal Processing Society Donald G. Fink Overview Paper Award, the 2022 Claude Shannon-Harry Nyquist Technical Achievement Award from the IEEE Signal Processing Society, and the 2024 Fred W. Ellersick Prize from the IEEE Communications Society.SA-TWG Webinar, wireless sensing, extended target models, integrated sensing and communication, blockage estimation, electromagnetic signal and information theory
