Experimental observation of direction-of-arrival (DOA) estimation algorithms in a tank environment for sonar application

Sayanti Bardhan, Shibu Jacob
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引用次数: 4

Abstract

This paper focuses on the performance of Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters by Rotational Invariance techniques (ESPRIT) algorithm in real-time, for detection of underwater object by active sonar system of frequency 12 kHz. Experiment is conducted in Acoustic tank facility (ATF) at National Institute of Ocean Technology (NIOT). A table with dimension of 0.5mx0.5m is submerged in the tank at a depth of 3.6m from the water surface. A tow body with acoustic transmitter and hydrophone array is used to transmit and receive the acoustic signal in tank. The DOA estimation gives the exact location of the table in the tank. It is observed that the location of the submerged table computed by MUSIC & ESPRIT is comparable with a bias of about 1 degree.
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声纳坦克环境下到达方向估计算法的实验观察
本文主要研究了多信号分类(MUSIC)和旋转不变性技术(ESPRIT)算法在12 kHz主动声呐系统水下目标检测中的实时性能。实验是在中国海洋技术研究所的声槽设备(ATF)上进行的。将尺寸为0.5mx0.5m的工作台浸入距水面3.6m的水箱中。采用带声发射机和水听器阵列的拖体对水声信号进行发射和接收。DOA估计给出了表在槽中的确切位置。观察到MUSIC & ESPRIT计算的淹没表位置在1度左右的偏差下具有可比性。
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Sparse reconstruction based direction of arrival estimation of underwater targets Experimental observation of direction-of-arrival (DOA) estimation algorithms in a tank environment for sonar application Data-model validation of broadband normal mode reverberation model An l 2-norm regularized underwater target classifier with improved generalization capability Real time target recognition using Labview
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