Table 4 Description of the training set of the distance estimator used for geometry calibration
From: Geometry calibration in wireless acoustic sensor networks utilizing DoA and distance information
Room width | \(r_{w} \sim \mathcal {U}({5}\text { m}, {7}\text { m})\) |
Room length | \(r_{l} \sim \mathcal {U}({5}\text { m}, {7}\text { m})\) |
Room height | rh=3 m |
Reverberation time | \(T_{60} \sim \mathcal {U}({250}\text { ms}, {700}\text { ms})\) |
Position of the node | \(n_{x}\sim \mathcal {U}({0.5}\text { m}, r_{w}- {0.5}\text { m})\) |
| Â | \(n_{y}\sim \mathcal {U}({0.5}\text { m}, r_{l}- {0.5}\text { m})\) |
| Â | nz=1.4 m |
Orientation of the node | \(\theta \sim \mathcal {U}(0, 2\pi)\) |
Distance | \(d \sim \mathcal {U}({0.3}\text { m}, {6}\text { m})\) |
DoA | \(\varphi \sim \mathcal {U}(0, 2\pi)\) |