12 citations · 12 across the 3 of their papers we have counts for
6 papers
Misspecification of Multiple Scattering in Scalar Wave Fields and its Impact in Ultrasound Tomography
Eduardo Pérez, Sebastian Semper, Sayako Kodera +2
In this work, we investigate the localization of targets in the presence of multiple scattering. We focus on the often omitted scenario in which measurement data is affected by mul…
Accelerating Innovation in 6G Research: Real-Time Capable SDR System Architecture for Rapid Prototyping
Maximilian Engelhardt, Sebastian Giehl, Michael Schubert +6
The upcoming 3GPP global mobile communication standard 6G strives to push the technological limits of radio frequency (RF) communication even further than its predecessors: Sum dat…
Sparsity Order Estimation from a Single Compressed Observation Vector
Sebastian Semper, Florian Römer, Thomas Hotz +1
We investigate the problem of estimating the unknown degree of sparsity from compressive measurements without the need to carry out a sparse recovery step. While the sparsity order…
On the SNR Variability in Noisy Compressed Sensing
Anastasia Lavrenko, Florian Roemer, Giovanni Del Galdo +1
Compressed sensing (CS) is a sampling paradigm that allows to simultaneously measure and compress signals that are sparse or compressible in some domain. The choice of a sensing ma…
Design and Analysis of Compressive Antenna Arrays for Direction of Arrival Estimation
Mohamed Ibrahim, Venkatesh Ramireddy, Anastasia Lavrenko +6
In this paper we investigate the design of compressive antenna arrays for direction of arrival (DOA) estimation that aim to provide a larger aperture with a reduced hardware comple…
Performance analysis of multi-dimensional ESPRIT-type algorithms for arbitrary and strictly non-circular sources with spatial smoothing
Jens Steinwandt, Florian Roemer, Martin Haardt +1
Spatial smoothing is a widely used preprocessing scheme to improve the performance of high-resolution parameter estimation algorithms in case of coherent signals or if only a small…