| Paper: | SAM-P5.9 | ||
| Session: | Source Detection, Estimation and Separation | ||
| Time: | Friday, May 19, 10:00 - 12:00 | ||
| Presentation: | Poster | ||
| Topic: | Sensor Array and Multichannel Signal Processing: Channel modelling and equalization | ||
| Title: | On a Stochastic Version of the Plenacoustic Function | ||
| Authors: | Thibaut Ajdler, Luciano Sbaiz, Andrea Ridolfi, Martin Vetterli, Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland | ||
| Abstract: | In this paper, we model a spatially varying channel where a source is moving along a random trajectory with respect to a fixed receiver. The aim is to compute the power spectral density corresponding to the channel impulse response as a function of temporal and spatial frequencies. The trajectory of the source follows an autoregressive model where the poles of the system control the smoothness of the path. Theoretical results are presented for the AR2 case and generalized to any ARn systems. Simulations results are shown and compared to the presented theory. The stochastic plenacoustic function analyzed in this paper also models time-varying channels governed by the wave equation, like they appear in acoustic echo cancellation or ultra wide band communication channels. | ||
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