scholarly journals Research on Ambiguity Resolution Algorithm by Quaternion Based on Acoustic Vector Sensor

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Guibao Wang ◽  
Xinkuan Wang ◽  
Lanmei Wang ◽  
Xiangyu Wang
Keyword(s):  
Ambiguity Resolution ◽  
Sensor Array ◽  
Doa Estimation ◽  
Acoustic Velocity ◽  
Phase Ambiguity ◽  
Acoustic Vector Sensor ◽  
Vector Sensor ◽  
Half Wavelength ◽  
Simulation Results ◽  
Resolution Algorithm

The increase in element spacing can increase the aperture of the array and improve its resolution performance. However, phase ambiguity will occur when the array element interval is larger than the minimum half wavelength of the incident signal. The three acoustic velocity components of the acoustic vector are ingeniously constructed into a new kind of quaternions because of the special structure of the acoustic vector sensor array, and the rough estimation of the direction of arrival (DOA) is obtained using the rotation relationship between the subarray steering vectors corresponding to quaternion data. The rough estimate is used to resolve the phase ambiguity of the spatial phase difference between the array elements, and the high-precision DOA estimation of the signal can be obtained. Simulation results show that the method is effective.

Quaternion min-norm algorithm for DOA estimation with acoustic vector sensor array

2014 ◽  
Vol 22 (7) ◽  
pp. 1969-1975
Author(s):  
李新波 LI Xin-bo ◽  
李晓青 LI Xiao-qing ◽  
刘国君 LIU Guo-jun ◽  
石要武 SHI Yao-wu ◽  
杨志刚 YANG Zhi-gang
Keyword(s):  
Sensor Array ◽  
Doa Estimation ◽  
Acoustic Vector Sensor ◽  
Vector Sensor ◽  
Vector Sensor Array

scholarly journals Frequency Invariant Beamforming for a Small-Sized Bi-Cone Acoustic Vector–Sensor Array

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 661
Author(s):  
Erzheng Fang ◽  
Chenyang Gui ◽  
Desen Yang ◽  
Zhongrui Zhu
Keyword(s):  
Sensor Array ◽  
Three Dimensional ◽  
Sensor Arrays ◽  
Signal Frequency ◽  
Acoustic Vector Sensor ◽  
Mechanical Coupling ◽  
Vector Sensor ◽  
Coupling System ◽  
Simulation Results ◽  
Vector Sensor Array

In this work, we design a small-sized bi-cone acoustic vector-sensor array (BCAVSA) and propose a frequency invariant beamforming method for the BCAVSA, inspired by the Ormia ochracea’s coupling ears and harmonic nesting. First, we design a BCAVSA using several sets of cylindrical acoustic vector-sensor arrays (AVSAs), which are used as a guide to construct the constant beamwidth beamformer. Due to the mechanical coupling system of the Ormia ochracea’s two ears, the phase and amplitude differences of acoustic signals at the bilateral tympanal membranes are magnified. To obtain a virtual BCAVSA with larger interelement distances, we then extend the coupling magnified system into the BCAVSA by deriving the expression of the coupling magnified matrix for the BCAVSA and providing the selecting method of coupled parameters for fitting the underwater signal frequency. Finally, the frequency invariant beamforming method is developed to acquire the constant beamwidth pattern in the three-dimensional plane by deriving several sets of the frequency weighted coefficients for the different cylindrical AVSAs. Simulation results show that this method achieves a narrower mainlobe width compared to the original BCAVSA. This method has lower sidelobes and a narrower mainlobe width compared to the coupling magnified bi-cone pressure sensor array.

2D DOA Estimation for Coherent Signals with Acoustic Vector-Sensor Array

2016 ◽  
Vol 95 (2) ◽  
pp. 1285-1297 ◽  
Author(s):  
Sheng Liu ◽  
Lisheng Yang ◽  
Yuanju Xie ◽  
Yanhong Yin ◽  
Qingping Jiang
Keyword(s):  
Sensor Array ◽  
Doa Estimation ◽  
Coherent Signals ◽  
Acoustic Vector Sensor ◽  
Vector Sensor ◽  
2D Doa Estimation ◽  
Vector Sensor Array

scholarly journals Error Self-Calibration Algorithm for Acoustic Vector Sensor Array

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Peng Wang ◽  
Yujun Kong ◽  
Mingxing Zhang
Keyword(s):  
Sensor Array ◽  
Doa Estimation ◽  
Acoustic Vector Sensor ◽  
Estimation Performance ◽  
Self Calibration ◽  
Phase Errors ◽  
Vector Sensor ◽  
Calibration Algorithm ◽  
The Impact ◽  
Vector Sensor Array

In this paper, the errors of acoustic vector sensor array are classified, the impact factor of each error for the array signal model is derived, and the influence of each type of error on the direction-of-arrival (DOA) estimation performance of the array is compared by Monte Carlo experiments. Converting the directional error and location error to amplitude and phase errors, the optimization model and error self-calibration algorithm for acoustic vector sensor array are proposed. The simulation experiments and field experiment data processing of MEMS vector sensor array show that the proposed self-calibration algorithm has good parameter estimation performance and certain engineering practicability.

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