75 citations · 133 across the 5 of their papers we have counts for
5 papers
Some Results on Tighter Bayesian Lower Bounds on the Mean-Square Error
Lucien Bacharach, Carsten Fritsche, Umut Orguner +1
In random parameter estimation, Bayesian lower bounds (BLBs) for the mean-square error have been noticed to not be tight in a number of cases, even when the sample size, or the sig…
Bayesian Cooperative Localization Using Received Signal Strength With Unknown Path Loss Exponent: Message Passing Approaches
Di Jin, Feng Yin, Carsten Fritsche +2
We propose a Bayesian framework for the received-signal-strength-based cooperative localization problem with unknown path loss exponent. Our purpose is to infer the marginal poster…
The Ensemble Kalman Filter: A Signal Processing Perspective
Michael Roth, Gustaf Hendeby, Carsten Fritsche +1
The ensemble Kalman filter (EnKF) is a Monte Carlo based implementation of the Kalman filter (KF) for extremely high-dimensional, possibly nonlinear and non-Gaussian state estimati…
Distributed Localization of Tree-structured Scattered Sensor Networks
Sina Khoshfetrat Pakazad, Emre Özkan, Carsten Fritsche +2
Many of the distributed localization algorithms are based on relaxed optimization formulations of the localization problem. These algorithms commonly rely on first-order optimizati…
Recursive maximum likelihood identification of jump Markov nonlinear systems
Emre Özkan, Fredrik Lindsten, Carsten Fritsche +1
In this contribution, we present an online method for joint state and parameter estimation in jump Markov non-linear systems (JMNLS). State inference is enabled via the use of part…