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C. Reyes, T. Hilaire, C. Mecklenbräuker:
"Distributed Projection Approximation Subspace Tracking based on Consensus Propagation";
Vortrag: IEEE 3rd International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2009), Aruba, Nederlandse Antillen; 13.12.2009 - 16.12.2009; in: "IEEE 3rd International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2009)", (2009), Paper-Nr. EDAS paper ID 1569237523, 4 S.

We develop and investigate a distributed algorithm for signal subspace tracking with a wireless sensor network without the need for a fusion center, in order to improve the robustness and scalability. 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) which is a well-investigated algorithm suitable for implementation in a fusion center. We arrive at a distributed approximation of the PAST algorithm by letting each sensor broadcast its local observation variable x_n(t) and a filtered observation vector y_n(t) to its neighborhood. 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.

PAST, wireless sensor network, subspace, RLS

Projektleitung Markus Rupp:
Signal and Information Processing in Science and Engineering - Entwicklungsmethodik