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eess.SP2025
On Mutual Information Neural Estimation for Localization
Sven Hinderer, Manuel Buchfink, Bin Yang
Mutual information (MI) is a promising candidate measure for the assessment and optimization of localization systems, as it captures nonlinear dependencies between random variables…
eess.SP2025
Hybrid Baseband Simulation for Single-Channel Radar-Based Indoor Localization System
Sven Hinderer, Zheming Yin, Athanasios Papanikolaou +2
Indoor localization with chirp sequence radar at millimeter wavelength offers high localization accuracy at low system cost. We propose a hybrid radar baseband signal simulator for…
eess.SP2025★ 6 cited
Blind Source Separation of Radar Signals in Time Domain Using Deep Learning
Sven Hinderer
Identification and further analysis of radar emitters in a contested environment requires detection and separation of incoming signals. If they arrive from the same direction and a…