Name
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 auto regressive 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 |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICASSP.2006.1661171 | Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference |
Keywords | Field | DocType |
acoustic wave propagation,autoregressive processes,electromagnetic wave propagation,receivers,time-varying channels,wave equations,auto regressive model,channel impulse response,electromagnetic waves,plenacoustic function,power spectral density,receiver,spatially varying channel,stochastic version,time-varying channels,wave equation | Mathematical optimization,Telecommunications,Wave propagation,Mathematical analysis,Computer science,Communication channel,Ultra-wideband,Spectral density,Wave equation,Smoothness,Spatial frequency,Trajectory | Conference |
Volume | ISSN | ISBN |
4 | 1520-6149 | 1-4244-0469-X |
Citations | PageRank | References |
5 | 0.44 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thibaut Ajdler | 1 | 24 | 7.12 |
| Luciano Sbaiz | 2 | 84 | 11.42 |
| A. Ridolfi | 3 | 38 | 12.20 |
| Martin Vetterli | 4 | 13926 | 2397.68 |