TY - GEN
T1 - Passive acoustic localization technology using arrays with special geography for wireless sensor networks
AU - Li, Qingzhou
AU - Song, Ping
AU - Li, Kejie
PY - 2009
Y1 - 2009
N2 - A localization algorithm using arrays with special geography for wireless sensor networks is discussed in this paper. The algorithm is based on the assumption of small aperture. The sensors are divided into several groups. Each group has a special geography. Firstly, the bearing information such as azimuth and elevation are estimated according to the time delay of arrivals. The estimate result in lines of bearings that can be thought of as rays that emanate from each sensor. Then the source localization is conducted through the intersections of the rays. The algorithm has the advantage of relative low synchronization requirement. The bearing and localization ability of two types of array, the four-element-array and the five-element-array, are discussed. The bearing estimation equations are given in a different form. Simulation results show that the five-element-array has much better localization ability than the four-element -array. The experiment confirmed the validity of the localization algorithm . And it also shows that the root-mean-square (RMS) error for the source localization increased with the increase of the aperture.
AB - A localization algorithm using arrays with special geography for wireless sensor networks is discussed in this paper. The algorithm is based on the assumption of small aperture. The sensors are divided into several groups. Each group has a special geography. Firstly, the bearing information such as azimuth and elevation are estimated according to the time delay of arrivals. The estimate result in lines of bearings that can be thought of as rays that emanate from each sensor. Then the source localization is conducted through the intersections of the rays. The algorithm has the advantage of relative low synchronization requirement. The bearing and localization ability of two types of array, the four-element-array and the five-element-array, are discussed. The bearing estimation equations are given in a different form. Simulation results show that the five-element-array has much better localization ability than the four-element -array. The experiment confirmed the validity of the localization algorithm . And it also shows that the root-mean-square (RMS) error for the source localization increased with the increase of the aperture.
KW - Acoustic array
KW - Passive localization
KW - Time different of arrivals (TDOAs)
KW - Wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=77449088053&partnerID=8YFLogxK
U2 - 10.1109/ICMA.2009.5246037
DO - 10.1109/ICMA.2009.5246037
M3 - Conference contribution
AN - SCOPUS:77449088053
SN - 9781424426935
T3 - 2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009
SP - 1140
EP - 1144
BT - 2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009
T2 - 2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009
Y2 - 9 August 2009 through 12 August 2009
ER -