Kommunikationstechnik-Kolloquium

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July 2025

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Communication Technology Colloquium at IKS
by Jessica Maaßen 01 Jul '25

01 Jul '25

Dear subscribers of the colloquium newsletter, we are happy to inform you about the next date of our Communication Technology Colloquium. *Thursday, July 10 2025* *Speaker*: Jan Schneider *Time:* 2:00 p.m. *Location*: hybrid - Lecture room 4G and https://rwth.zoom.us/j/61215027648?pwd=MTJvayt5bkdka04raWZVempPZGE0Zz09 Meeting-ID: 612 1502 7648 Passwort: 380386 *Master-Lecture: ** * *Parameter Estimation in Adaptive Acoustic System Identification * Hands-free communication is becoming more and more popular by the day. The ability to communicate without holding a phone against ones head enables communication where it was previously impossible. To avoid the acoustic echo that is generated, Acoustic Echo Cancellation can be used, which requires the identification of the acoustic system between the loudspeaker and microphone. A popular method for Acoustic System Identification is to use a Kalman filter. The Kalman filter relies on second order moments that are not known beforehand. These so called process parameters must therefore be estimated alongside the estimation of the actual acoustic system. This thesis investigates different estimators for all three process parameters of a Time Domain Kalman Filter: the measurement noise covariance, the process noise covariance and the transition matrix, all based on a maximum likelihood approach. This thesis shows that existing proposals comply with this approach and particularly process noise covariance estimators can be interpreted as a variant of this solution using meaningful simplifications. Based on this approach, other simplifications are used to derive a wide range of possible process noise estimators that show a similar performance but have other unique properties. For the measurement noise covariance, a novel estimator is proposed that imposes a Toeplitz structure on the covariance matrix, which can be shown to improve the estimation performance significantly. Although the estimation of the transition matrix from the derived solution is shown to be challenging, this thesis shows that a transition matrix estimation is still worthwhile and proposes a new estimator by interpreting the problem as a least squares problem. All proposed estimators were evaluated through exhaustive tests considering different conditions and scenarios. All interested parties are cordially invited, registration is not required. General information on the colloquium, as well as a current list of dates of the Communication Technology Colloquium can be found at: https://www.iks.rwth-aachen.de/aktuelles/kolloquium -- Jessica Maaßen Institute of Communication Systems (IKS) RWTH Aachen University Muffeter Weg 3a, 52074 Aachen, Germany +49 241 80 26958 maassen(a)iks.rwth-aachen.de https://www.iks.rwth-aachen.de/

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