SIGNAL DETECTION BASED ON GPU-ASSISTED PARALLEL PROCESSING FOR INFRASTRUCTURE-BASED ACOUSTICAL SENSOR NETWORKS

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SADEGHI HAMED; AKHAVAN AMIR

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Journal: SIGNAL AND DATA PROCESSING Year:2018 | Volume:14 | Issue:4 (SERIAL 34) Page(s): 19-29

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Title

SIGNAL DETECTION BASED ON GPU-ASSISTED PARALLEL PROCESSING FOR INFRASTRUCTURE-BASED ACOUSTICAL SENSOR NETWORKS

Author(s)

SADEGHI HAMED | AKHAVAN AMIR | Issue Writer Certificate

Keywords

SENSOR NETWORKQ1

ARRAY PROCESSINGQ1

BEAMFORMINGQ2

PARALLEL PROCESSINGQ2

GPUQ1

Abstract

Nowadays, several infrastructure-based low-frequency acoustical SENSOR NETWORKs are employed in different applications to monitor the activity of diverse natural and man-made phenomena, such as avalanches, earthquakes, volcanic eruptions, severe storms, super-sonic aircraft flights, etc. Two signal detection methods are usually implemented in these networks for the purpose of event occurrence identification, which are the progressive multi-channel correlator (PMCC) and the so-called Fisher detector. But, the Fisher method is more important and applicable in low signal-to-noise (SNR) ratio conditions, which is of a special interest in acoustical monitoring networks. Unfortunately, an important disadvantage of this algorithm is its relative high detection-time; which limits its application for real-time detection scenarios. This disadvantage is fundamentally due to a beam forming process in Fisher algorithm, which requires doing complete search in a slowness-network, constructed from possible incoming wave front directions and speeds. To address this issue, we propose a method for implementation of this beam forming on a graphics processing unit (GPU), in order to realize a fast-computing and/or near real-time signal processing technique. In addition, we also propose a parallel-processing algorithm for further enhancement of the performance of this GPU-based Fisher detector. Simulation results confirm the performance improvement of Fisher detector, in terms of required processing time for acoustical signal detection applications.

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APA: Copy

SADEGHI, HAMED, & AKHAVAN, AMIR. (2018). SIGNAL DETECTION BASED ON GPU-ASSISTED PARALLEL PROCESSING FOR INFRASTRUCTURE-BASED ACOUSTICAL SENSOR NETWORKS. SIGNAL AND DATA PROCESSING, 14(4 (SERIAL 34) ), 19-29. SID. https://sid.ir/paper/160834/en

Vancouver: Copy

SADEGHI HAMED, AKHAVAN AMIR. SIGNAL DETECTION BASED ON GPU-ASSISTED PARALLEL PROCESSING FOR INFRASTRUCTURE-BASED ACOUSTICAL SENSOR NETWORKS. SIGNAL AND DATA PROCESSING[Internet]. 2018;14(4 (SERIAL 34) ):19-29. Available from: https://sid.ir/paper/160834/en

IEEE: Copy

HAMED SADEGHI, and AMIR AKHAVAN, “SIGNAL DETECTION BASED ON GPU-ASSISTED PARALLEL PROCESSING FOR INFRASTRUCTURE-BASED ACOUSTICAL SENSOR NETWORKS,” SIGNAL AND DATA PROCESSING, vol. 14, no. 4 (SERIAL 34) , pp. 19–29, 2018, [Online]. Available: https://sid.ir/paper/160834/en

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