2010
DOI: 10.1007/s00034-010-9187-3
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Acoustic Source Localization in Wireless Sensor Network

Abstract: In this paper, we consider the problem of acoustic source localization in a wireless sensor network based on different measured signal quantities, such as the received signal strength (RSS), the angle of arrival (AOA) and the time of arrival (TOA). For each of these quantities, an appropriate weighted least squares criterion function is developed to be used for sound source localization. The weights of each criterion function take into account the decrease in the signal-to-noise ratio (SNR) with distance from … Show more

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Cited by 27 publications
(14 citation statements)
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“…Acoustic source localization using WSNs has a number of possible applications, including intruder detection, sniper localization [16]. Wang et al [17] and Saric et al [18] present an overview of such wireless localization systems with detailed analyses and characterisations of typical source localization algorithms in WSNs. In [19], a PZT-based wireless system for composite impact monitoring is proposed to give a localized search area for further inspection.…”
Section: Source Localization On Wind Turbine Bladesmentioning
confidence: 99%
See 1 more Smart Citation
“…Acoustic source localization using WSNs has a number of possible applications, including intruder detection, sniper localization [16]. Wang et al [17] and Saric et al [18] present an overview of such wireless localization systems with detailed analyses and characterisations of typical source localization algorithms in WSNs. In [19], a PZT-based wireless system for composite impact monitoring is proposed to give a localized search area for further inspection.…”
Section: Source Localization On Wind Turbine Bladesmentioning
confidence: 99%
“…It differs from work in the aforementioned studies in the sense that it utilises aliased versions of AE signals instead of the original signals in the localization process. Therefore, the results presented in [17][18][19] would not be appropriate for a fair comparison. In contrast to the work presented in [20], the calculations of localization features such as arrival time and peak amplitude are locally extracted by the individual acoustic wireless units.…”
Section: Source Localization On Wind Turbine Bladesmentioning
confidence: 99%
“…With the rapid development of communication technology and mobile computing devices, applications of wireless acoustic sensor networks (WASNs) are becoming popular in acoustic signal processing. Particularly, WASN-based sound source localization has captured researchers’ attention in the last two decades [ 1 , 2 , 3 , 4 , 5 ]. The existing methods available for passive source localization in WASNs include (1) the received energy-based approaches [ 6 , 7 , 8 , 9 ]; (2) the direction of arrival (DOA)-based approaches [ 10 , 11 ]; (3) the time of arrival (TOA)-based approaches [ 12 ]; (4) the time difference of arrival (TDOA)-based approaches [ 13 , 14 , 15 ] and (5) the steered response power (SRP)-based approaches [ 16 , 17 , 18 , 19 , 20 , 21 , 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…As an example, the Airbus A380 has nearly 500 km of cables consisting of ~100,000 wires and ~40,000 connectors . By replacing current wired transducers with wireless sensor networks (WSNs), the overall weight of the aircraft can be dramatically decreased . Early work on WSN is from Straser and Kiremidjian, who proposed the design of a low‐cost wireless modular monitoring system using the Motorola 68HC11 microprocessor and the eight‐channel, 16‐bit, 240‐Hz Harris H17188IP Sigma‐Delta analogue‐to‐digital converter (ADC).…”
Section: Introductionmentioning
confidence: 99%