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Academic Report of SMS 2025-13

Title:Remote State Estimation Under Transmission Power Constraints

Abstract:In this presentation, we talk about the remote state estimation problem with noisy wireless communication channels, where the total transmission power constraint becomes a concern. Utilizing the ultimately bounded filtering method, we devise a state estimator that accounts for the combined effect of probabilistic bit flips and transmission power allocation on estimation performance. Moreover, the task of co-designing the transmission power allocation scheme and estimator gains is modeled as an optimization problem, which is then addressed through a two-step optimization strategy. Numerical simulation examples are provided to demonstrate the effectiveness of the proposed co-design approach.

Speaker:Wang Zidong,Brunel University London.

Date:16:00 p.m., 2025-3-27 (Thursday).

Venue: 腾讯会议209-332-965

Organizer:School of Mathematical Science

Inviter:Liu Yurong

Students and teachers are welcome.

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