Volume 18, Issue 2 (10-2021)
JSDP 2021, 18(2): 45-56 |
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Imani far E, Akhavan A, abniki A A. Real-Time DOA Estimation of Underwater Sound Sources Using GPU. JSDP 2021; 18 (2) :45-56
URL: http://jsdp.rcisp.ac.ir/article-1-990-en.html
URL: http://jsdp.rcisp.ac.ir/article-1-990-en.html
Department of Electrical and Computer Engineering, Isfahan University of Technology
Abstract: (1690 Views)
Direction of Arrival (DOA) estimation of sound sources using phased array-based methods has a lot of importance in various fields, including sonar, robot vision, and mechanical defect detection. Adaptive beamforming methods, such as the MVDR (Minimum Variance Distortionless Response) algorithm, have high resolution compared to non-adaptive methods (Delay and Sum algorithm); but this advantage is achieved in return for the computational complexity of these algorithms. This makes it hard to use these algorithms in applications that require real-time sound source DOA estimation. On the other hand, an important feature of the adaptive beamforming methods including MVDR is the high potential of these algorithms for parallelization. The purpose of this paper is the parallel implementation of the MVDR algorithm by employing Graphical Processor Unit (GPU) instead of Central Processor Unit (CPU) to increase the execution speed and achieve the real-time mode. For this purpose, the CUDA (Compute Unified Device Architecture) programming model has been used to implement the algorithm on the GPU. CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia. It allows software developers to use a CUDA-enabled GPU for parallel processing. In order to investigate the performance of parallel implementation of the MVDR algorithm, two different GPUs, as well as CPUs, have been used. The performance validity of various implementations in this paper was confirmed by real sonar data as well as simulation data. The results show that using an array of 64 sensors, it is possible to estimate the DOA of underwater sound sources in real-time mode and with high resolution using the MVDR algorithm.
Type of Study: Research |
Subject:
Paper
Received: 2019/03/31 | Accepted: 2020/04/21 | Published: 2021/10/8 | ePublished: 2021/10/8
Received: 2019/03/31 | Accepted: 2020/04/21 | Published: 2021/10/8 | ePublished: 2021/10/8
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