Talks and Poster Presentations (without Proceedings-Entry):
C. Reyes, T. Hilaire, C. Mecklenbräuker:
"Distributed Projection Approximation Subspace Tracking Based on Consensus Propagation";
Talk: 9th COST2100 Management Committee Meeting,
We develop and investigate a distributed algorithm for signal subspace tracking without the need for a fusion center. We assume that all sensor nodes may broadcast messages to sensors in their neighborhood deﬁned by a ﬁnite (small) communication radius. To this aim, we start from Projection Approximation Subspace Tracking (PAST), a well-investigated algorithm suitable for implementation in a centralized way. We arrive at a distributed
approximation of the PAST algorithm by letting each sensor broadcast to its neighbors the local observation variable x_n(t), a ﬁltered observation vector y_n(t), the local weight w_n and the estimated signal subspace W_n(t). Vice versa, the received messages at sensor node n from its neighborhood are fused by employing consensus propagation. Finally, we investigate the proposed distributed algorithm in simulation runs. Simultaneously, some work in progress regarding the distribution of W_n(t) will be presented.
PAST, wireless sensor network, subspace, RLS
Electronic version of the publication:
Project Head Christoph Mecklenbräuker:
Christian Doppler Lab "Funktechnologien für nachhaltige Mobilität"
Project Head Markus Rupp:
Signal and Information Processing in Science and Engineering - Entwicklungsmethodik
Created from the Publication Database of the Vienna University of Technology.