TY - JOUR
T1 - Acoustic source localization using 10-microphone array based on wireless sensor network
AU - Song, Ping
AU - Hao, Chuangbo
AU - Wu, Jiangpeng
AU - Yang, Cheng
N1 - Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2017/11/1
Y1 - 2017/11/1
N2 - To enable accurate location of an acoustic source in a large field using the lowest possible number of sensors (sensor nodes), we propose the use of a 10-element microphone array with the time delay of arrival (TDOA) method. The 10-element microphone array consists of a small five-element spatial sub-array and an external five-element planar sub-array. The former sub-array is used to calculate the angle at which the acoustic source is located, while the latter sub-array computes the distance from this source to the central sensor node. The processing center then combines these values using the least error approximation (LEA) to estimate the source location accurately. The TDOA measurement approach is commonly used in acoustic source localization. In previous studies, researchers tended to use cross-correlation or other spectral analysis methods to estimate the TDOA. However, in this research, we propose the use of a hardware method to estimate the TDOA. In the proposed network, each sensor node immediately captures the absolute timestamp when it receives the impulsive transient acoustic signal, i.e., the absolute time of arrival (TOA). The sensor nodes then simply transmit these timestamps to the processing center, thus greatly reducing both energy consumption and communications overheads. Simulations and experimental results show that the acoustic source can be localized to within 1 m in 3D coordinates within a 250 m × 250 m test area.
AB - To enable accurate location of an acoustic source in a large field using the lowest possible number of sensors (sensor nodes), we propose the use of a 10-element microphone array with the time delay of arrival (TDOA) method. The 10-element microphone array consists of a small five-element spatial sub-array and an external five-element planar sub-array. The former sub-array is used to calculate the angle at which the acoustic source is located, while the latter sub-array computes the distance from this source to the central sensor node. The processing center then combines these values using the least error approximation (LEA) to estimate the source location accurately. The TDOA measurement approach is commonly used in acoustic source localization. In previous studies, researchers tended to use cross-correlation or other spectral analysis methods to estimate the TDOA. However, in this research, we propose the use of a hardware method to estimate the TDOA. In the proposed network, each sensor node immediately captures the absolute timestamp when it receives the impulsive transient acoustic signal, i.e., the absolute time of arrival (TOA). The sensor nodes then simply transmit these timestamps to the processing center, thus greatly reducing both energy consumption and communications overheads. Simulations and experimental results show that the acoustic source can be localized to within 1 m in 3D coordinates within a 250 m × 250 m test area.
KW - Absolute timestamp
KW - Detonation localization
KW - Least error approximation
KW - Microphone array
KW - Wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=85032863460&partnerID=8YFLogxK
U2 - 10.1016/j.sna.2017.10.019
DO - 10.1016/j.sna.2017.10.019
M3 - Article
AN - SCOPUS:85032863460
SN - 0924-4247
VL - 267
SP - 376
EP - 384
JO - Sensors and Actuators A: Physical
JF - Sensors and Actuators A: Physical
ER -