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 |
|---|---|
| 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 |
Bibliographical note
Publisher Copyright:© 1994-2012 IEEE.
Funding
Manuscript received March 12, 2018; revised May 11, 2018; accepted June 6, 2018. Date of publication June 21, 2018; date of current version July 30, 2018. This work was supported by the U.K. EPSRC Fellowship under Grant EP/P001017/1. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Jun Liu. (Corresponding author: Christine Evers.) C. Evers and P. A. Naylor are with the Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, U.K. (e-mail:, [email protected]; [email protected]).
| Funders | Funder number |
|---|---|
| Engineering and Physical Sciences Research Council | EP/P001017/1 |
Keywords
- Acoustic sensors
- Bayes' methods
- smart homes