IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
SPTM-20: Detection and Tracking
Thu, 12 May, 23:00 - 23:45 China Time (UTC +8)
Thu, 12 May, 15:00 - 15:45 UTC
Location: Gather Area M
Session Chair: Daniel Clark, Telecom SudParis
Track: Signal Processing Theory and Methods

SPTM-20.1: SPARSE SUBSPACE TRACKING IN HIGH DIMENSIONS
Trung Thanh Le, Karim Abed-Meraim, University of Orleans, France; Adel Hafiane, INSA Centre Val de Loire, France; Linh Trung Nguyen, VNU University of Engineering and Technology, Viet Nam

SPTM-20.2: HOW CAN A COGNITIVE RADAR MASK ITS COGNITION?
Kunal Pattanayak, Vikram Krishnamurthy, Cornell University, United States of America; Christopher Berry, Lockheed Martin Advanced Technologies Laboratory, United States of America

SPTM-20.3: RTSNET: DEEP LEARNING AIDED KALMAN SMOOTHING
Xiaoyong Ni, Guy Revach, Eidgenössische Technische Hochschule Zürich, Switzerland; Nir Shlezinger, Ben-Gurion University of the Negev, Israel; Ruud J. G. van Sloun, Eindhoven University of Technology, Netherlands; Yonina C. Eldar, Weizmann Institute of Science, Israel

SPTM-20.4: Near-field Tracking with Large Antenna Arrays: Fundamental Limits and Practical Algorithms
Anna Guerra, Davide Dardari, University of Bologna, Italy; Francesco Guidi, National Research Council of Italy, Italy; Petar Djuric, Stony Brook University, United States of America

SPTM-20.5: GENERALIZED AUTOCORRELATION ANALYSIS FOR MULTI-TARGET DETECTION
Ye'Ela Shalit, Ran Weber, Asaf Abas, Shay Kreymer, Tamir Bendory, Tel Aviv University, Israel

SPTM-20.6: APPROXIMATING THE LIKELIHOOD RATIO IN LINEAR-GAUSSIAN STATE-SPACE MODELS FOR CHANGE DETECTION
Kostas Tsampourakis, Víctor Elvira, University of Edinburgh, United Kingdom of Great Britain and Northern Ireland