Acoustic Vector Hydrophone Array Supergain Energy Flux Beamforming

2006 ◽  
Author(s):  
Na Qi ◽  
Tan Tian
Keyword(s):  
Energy Flux ◽  
Vector Hydrophone ◽  
Hydrophone Array

scholarly journals An Improved Squirrel Search Algorithm for Maximum Likelihood DOA Estimation and Application for MEMS Vector Hydrophone Array

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 118343-118358 ◽  
Author(s):  
Peng Wang ◽  
Yujun Kong ◽  
Xuefang He ◽  
Mingxing Zhang ◽  
Xiuhui Tan
Keyword(s):  
Maximum Likelihood ◽  
Search Algorithm ◽  
Doa Estimation ◽  
Vector Hydrophone ◽  
Hydrophone Array

scholarly journals Vector Hydrophone Array Design Based on Off-Grid Compressed Sensing

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6949
Author(s):  
Zhibo Shi ◽  
Guolong Liang ◽  
Longhao Qiu ◽  
Guangming Wan ◽  
Lei Zhao
Keyword(s):  
Compressed Sensing ◽  
Array Signal Processing ◽  
Simultaneous Optimization ◽  
L1 Norm ◽  
Array Design ◽  
Vector Hydrophone ◽  
Grid Algorithm ◽  
The Difference ◽  
Acoustic Environments ◽  
Hydrophone Array

Array design is the primary consideration for array signal processing, and sparse array design is an important and challenging task. In underwater acoustic environments, the vector hydrophone array contains more information than the scalar hydrophone array, but there are few articles focused on the design of the vector hydrophone array. The difference between the vector hydrophone array and the scalar hydrophone array is that each vector hydrophone has three or four channels. When designing a sparse vector hydrophone array, these channels need to be optimized at the same time to ensure the sparsity of the array elements’ number. To solve this problem, this paper introduced the compressed sensing (CS) theory into the vector hydrophone array design, constructed the vector hydrophone array design problem into a globally solvable optimization problem, proposed a CS-based algorithm with the L1 norm suitable for vector hydrophone array, and realized the simultaneous optimization of multiple channels from the same vector hydrophone. At the same time, the off-grid algorithm was added to obtain higher design accuracy. Two design examples verify the effectiveness of the proposed method. The theoretical analysis and simulation results show that compared with the conventional compressed sensing algorithm with the same aperture, the algorithm proposed in this paper used fewer vector hydrophone elements to obtain better fitting of the desired beam pattern.

Off-Grid DOA Estimation Based on Alternating Iterative Weighted Least Squares for Acoustic Vector Hydrophone Array

2020 ◽  
Vol 39 (9) ◽  
pp. 4650-4680 ◽  
Author(s):  
Weidong Wang ◽  
Qunfei Zhang ◽  
Wentao Shi ◽  
Weijie Tan ◽  
Linlin Mao
Keyword(s):  
Least Squares ◽  
Weighted Least Squares ◽  
Doa Estimation ◽  
Vector Hydrophone ◽  
Hydrophone Array

A four-element optical fiber 4C vector hydrophone array

2012 ◽  
Author(s):  
Jianfei Wang ◽  
Hong Luo ◽  
Yu Chen ◽  
Zhou Meng
Keyword(s):  
Optical Fiber ◽  
Vector Hydrophone ◽  
Hydrophone Array

DOA Estimation of Surface Vessel under Correlated Noises Using Vector Hydrophone Array

2012 ◽  
Vol 542-543 ◽  
pp. 1362-1365
Author(s):  
Guang Jin He ◽  
Jin Fang Cheng ◽  
Jie Xu
Keyword(s):  
Doa Estimation ◽  
Vector Data ◽  
Music Algorithm ◽  
Complex Vector ◽  
Complex Quaternion ◽  
Vector Hydrophone ◽  
Multiple Frames ◽  
Hydrophone Array ◽  
Surface Vessel ◽  
Correlated Noises

In the traditional acoustic vector data processing, the output of a single vector hydrophone is modeled as a complex vector, which cannot hold the orthogonal structure of the hydrophone. Here, the complex-quaternion model of the vector hydrophone is proposed. The velocity elements are put in the position of the three imaginary parts, which retains the orthogonality of the velocity sensors. As the non-stationary properties of the surface vessel’s radiated signals, the received data are divided into multiple frames. The covariance matrices and their vectorizations of each frame are calculated. An orthogonal projection is employed to eliminate the background noises. Then the noise-free covariance matrix is used to estimate the DOA’s of the sources by taking use of MUSIC algorithm. The simulations verify the good performance of the proposed algorithm.

Blind DOA Estimation Based on Single Acoustic Vector Hydrophone

2013 ◽  
Vol 706-708 ◽  
pp. 678-681
Author(s):  
Da Wei Xiao ◽  
Jin Fang Cheng ◽  
Jing Zhuo Zhang
Keyword(s):  
Particle Velocity ◽  
Acoustic Waves ◽  
Simulation Experiment ◽  
Estimation Method ◽  
Doa Estimation ◽  
New Method ◽  
Steering Vector ◽  
Vector Hydrophone ◽  
Hydrophone Array ◽  
Signal Vector

In this paper a blind direction of arrival (DOA) estimation method based on single acoustic vector hydrophone is presented according to the characteristics of underwater acoustic waves. With no priori assumptions about the structure of steering vector, the vector hydrophone array manifold is estimated by the joint approximate diagonalization of eigen-matrices (JADE) algorithm. Simultaneously, acoustic waves are reconstructed by the separation matrix and signal vector. Finally, with the orthogonality of the components of particle velocity the DOA are estimated. Simulation experiment proves the effectiveness and correctness of this new method.

scholarly journals Research on DOA Estimation Based on Acoustic Energy Flux Detection Using a Single MEMS Vector Hydrophone

Micromachines ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 168
Author(s):  
Xiaoyong Zhang ◽  
Guojun Zhang ◽  
Zhenzhen Shang ◽  
Shan Zhu ◽  
Peng Chen ◽  
...  
Keyword(s):  
Energy Flux ◽  
Signal To Noise Ratio ◽  
Likelihood Estimation ◽  
Doa Estimation ◽  
Acoustic Energy ◽  
Vector Hydrophone ◽  
Energy Center ◽  
Simulation Results ◽  
Micro Electromechanical System ◽  
Improved Algorithm

The principle of acoustic energy flux detection method using a single micro electromechanical system (MEMS) vector hydrophone is analyzed in this paper. The probability distribution of acoustic energy flux and the weighted histogram algorithm are discussed. Then, an improved algorithm is proposed. Based on the algorithm, the distribution range of the energy is obtained by a sliding window, the energy center of gravity in the range is considered as the result of direction of arrival (DOA) estimation, and it is proved to be the maximum likelihood estimation of the target direction. The simulation results show that, with the signal to noise ratio (SNR) from −10 dB to 10 dB, the root mean square error (RMSE) of the improved algorithm is reduced by 47.8% on average, and is more accurate in the presence of interference. The experimental results of lake test are consistent with the theory analysis and simulation results.

Geoacoustic Inversion Based on a Vector Hydrophone Array

2007 ◽  
Vol 24 (7) ◽  
pp. 1977-1980 ◽  
Author(s):  
Peng Han-Shu ◽  
Li Feng-Hua
Keyword(s):  
Geoacoustic Inversion ◽  
Vector Hydrophone ◽  
Hydrophone Array
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