Abstract
Distributed acoustic tracking estimates the trajectories of source positions using an acoustic sensor network. As it is often difficult to estimate the source-sensor range from individual nodes, the source positions have to be inferred from the direction-of-arrival (DoA) estimates. Due to reverberation and noise, the sound field becomes increasingly diffuse with increasing source-sensor distance, leading to a decreased Direction of Arrival (DoA)-estimation accuracy. To distinguish between accurate and uncertain DoA estimates, this letter proposes to incorporate the coherent-to-diffuse ratio as a measure of DoA reliability for single-source tracking. It is shown that the source positions, therefore, can be probabilistically triangulated by exploiting the spatial diversity of all nodes.
Original language | English |
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Article number | 8392398 |
Pages (from-to) | 1320-1324 |
Number of pages | 5 |
Journal | IEEE Signal Processing Letters |
Volume | 25 |
Issue number | 9 |
DOIs | |
State | Published - Sep 2018 |
Keywords
- Acoustic sensors
- Bayes' methods
- smart homes
All Science Journal Classification (ASJC) codes
- Signal Processing
- Electrical and Electronic Engineering
- Applied Mathematics