I. Title:Receiver Placement Optimization for Multistatic Target Localization

II. Presenter: The University of Naples Federico II, Augusto Aubry, Associate Professor

III. Time:15:30-16:30,July 14, 2026

IV. Location: Room 407, Block C, Pinxue Building, Qingshuihe Campus

V. Host: YU Xianxiang,Research Fellow

VI. Overview:

In this talk, an effective resource allocation strategy for optimizing the placement of receivers in a multistatic target localization system with a single transmitter and multiple receivers will be presented. The aim is to improve the achievable target estimation accuracy of time-sum-of-arrival (TSOA) localization techniques in both 2D and 3D scenarios.

The proposed algorithm is based on the block majorization–minimization (block MM) principle, which combines block coordinate descent and majorization–minimization (MM) methods. Specifically, the sensor placement problem for TSOA measurements is formulated using A- and D-optimality criteria. The resulting optimization problem is solved iteratively by partitioning the design variables into multiple blocks corresponding to the number of receivers and applying MM to each block.

The method can also accommodate scenarios in which the transmitter acts as a receiver, as well as cases with non-uniform noise variances across receivers. Numerical simulations demonstrate the effectiveness of the proposed design algorithm.

VII.About the Presenter:

Augusto Aubry received the Dr. Eng. degree in telecommunication engineering with honors and the Ph.D. degree in electronic and telecommunication engineering from the University of Naples Federico II, Naples, Italy, in 2007 and 2011, respectively. From February to April 2012, he was a Visiting Researcher with Hong Kong Baptist University, Hong Kong. He is currently an Associate Professor with the University of Naples Federico II.

His research interests include statistical signal processing and optimization theory, with emphasis on MIMO communications and radar signal processing. Dr. Aubry is a Senior Member of IEEE. He received the 2022 IEEE Fred Nathanson Memorial Award as the young AESS Radar Engineer 2022, with the citation “For outstanding contributions to the application of modern optimization theory to radar waveform design and adaptive signal processing.” He was also a co-recipient of the 2013 IEEE Transactions on Aerospace and Electronic Systems Best Paper Award, entitled to the M. Barry Carlton Award, for the paper “Knowledge-Aided (Potentially Cognitive) Transmit Signal and Receive Filter Design in Signal-Dependent Clutter.”