scholarly journals A Novel Self-Calibration Method for Acoustic Vector Sensor

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Yao Zhang ◽  
Jin Fu ◽  
Guannan Li
Keyword(s):  
Acoustic Pressure ◽  
Calibration Method ◽  
Estimation Accuracy ◽  
Spatial Gradient ◽  
Arrival Angle ◽  
Acoustic Vector Sensor ◽  
Self Calibration ◽  
Vector Sensor ◽  
Calibration Algorithm ◽  
Simulation Results

The acoustic vector sensor (AVS) can measure the acoustic pressure field’s spatial gradient, so it has directionality. But its channels may have nonideal gain/phase responses, which will severely degrade its performance in finding source direction. To solve this problem, in this study, a self-calibration algorithm based on all-phase FFT spectrum analysis is proposed. This method is “self-calibrated” because prior knowledge of the training signal’s arrival angle is not required. By measuring signals from different directions, the initial phase can be achieved by taking the all-phase FFT transform to each channel. We use the amplitude of the main spectrum peak of every channel in different direction to formulate an equation; the amplitude gain estimates can be achieved by solving this equation. In order to get better estimation accuracy, bearing difference of different training signals should be larger than a threshold, which is related to SNR. Finally, the reference signal’s direction of arrival can be estimated. This method is easy to implement and has advantage in accuracy and antinoise. The efficacy of this proposed scheme is verified with simulation results.

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.

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.

The Projector Calibration Based on ZHANG’s Self-Calibration Method

2014 ◽  
Vol 981 ◽  
pp. 364-367
Author(s):  
Guang Yu ◽  
Bo Yang Yu ◽  
Shu Cai Yang ◽  
Li Wen ◽  
Wen Fei Dong ◽  
...  
Keyword(s):  
Camera Calibration ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Calibration Method ◽  
Linear Calibration ◽  
Self Calibration ◽  
Operation Process ◽  
Projector Calibration ◽  
Calibration Algorithm ◽  
Relationship Of

Projector calibration can be seen as a special case of the camera calibration. It can establish the relationship of the three dimensional space coordinates for points and projector image coordinates for points DMD by using a projector to project coding pattern. In camera calibration, ZHANG’s self-calibration was conducted in the maximum likelihood linear refinement. Operation process takes the lens distortion factors into account finding out the camera internal and external parameters finally. Using this algorithm to the projector calibration can solve the traditional linear calibration algorithm which is complex and poor robustness. Otherwise, it can improve the practicability of calibration method. This method can both calibrate the internal and external parameters of projector, which can solve the problem of independently inside or outside calibration.

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.

scholarly journals Open-Lake Experimental Investigation of Azimuth Angle Estimation Using a Single Acoustic Vector Sensor

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Anbang Zhao ◽  
Lin Ma ◽  
Juan Hui ◽  
Caigao Zeng ◽  
Xuejie Bi
Keyword(s):  
Acoustic Pressure ◽  
Azimuth Angle ◽  
Estimation Methods ◽  
Acoustic Vector Sensor ◽  
Angle Estimation ◽  
Passive Detection ◽  
Vector Sensor ◽  
Sonar System ◽  
Multichannel Signals ◽  
Structure Sensor

Five well-known azimuth angle estimation methods using a single acoustic vector sensor (AVS) are investigated in open-lake experiments. A single AVS can measure both the acoustic pressure and acoustic particle velocity at a signal point in space and output multichannel signals. The azimuth angle of one source can be estimated by using a single AVS in a passive sonar system. Open-lake experiments are carried out to evaluate how these different techniques perform in estimating azimuth angle of a source. The AVS that was applied in these open-lake experiments is a two-dimensional accelerometer structure sensor. It consists of two identical uniaxial velocity sensors in orthogonal orientations, plus a pressure sensor—all in spatial collocation. These experimental results indicate that all these methods can effectively realize the azimuth angle estimation using only one AVS. The results presented in this paper reveal that AVS can be applied in a wider range of application in distributed underwater acoustic systems for passive detection, localization, classification, and so on.

Application of Self-Calibration in Flatness Assessment

2012 ◽  
Vol 605-607 ◽  
pp. 1054-1057
Author(s):  
Tian Tai Guo ◽  
Xiao Xiao Wang ◽  
Hui Zou ◽  
Bo Hong ◽  
Jun Zhao ◽  
...  
Keyword(s):  
Mathematical Models ◽  
The Self ◽  
Measurement Noise ◽  
Calibration Error ◽  
Two Dimensional ◽  
Random Measurement ◽  
Self Calibration ◽  
Calibration Algorithm ◽  
Simulation Results ◽  
Flatness Error

A self-calibration algorithm is described that allows the separation of the flatness error of two-dimensional profiling stages through the combination with a flat artifact whose accuracy is unknown. The calibration requires performing three independent measurements with different orientations of the same artifact to make mathematical models. Then the self-calibration algorithm was simulated using Matlab. The simulation results show that when there is no random measurement noise, this algorithm can realize exact calibration of the flatness error of the stage, while in the presence of random measurement noise, the algorithm introduces a calibration error of about the same size as the random measurement noise itself.

scholarly journals Improved Self-Calibration of a Multilateration System Based on Absolute Distance Measurement

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7288
Author(s):  
Quoc Khanh Nguyen ◽  
Seungman Kim ◽  
Seong-Heum Han ◽  
Seung-Kook Ro ◽  
Seung-Woo Kim ◽  
...  
Keyword(s):  
Calibration Method ◽  
Distance Measurement ◽  
Estimation Accuracy ◽  
Maximum Deviation ◽  
Maximum Difference ◽  
Absolute Distance ◽  
Residual Function ◽  
High Precision Measurement ◽  
System Parameters ◽  
Self Calibration

Multilateration tracking systems (MLTSs) are used in industrial three-dimensional (3D) coordinate measuring applications. For high-precision measurement, system parameters must be calibrated properly in advance. For an MLTS using absolute distance measurement (ADM), the conventional self-calibration method significantly reduces estimation efficiency because all system parameters are estimated simultaneously using a complicated residual function. This paper presents a novel self-calibration method that optimizes ADM to reduce the number of system parameters via highly precise and separate estimations of dead paths. Therefore, the residual function to estimate the tracking station locations can be simplified. By applying a suitable mathematical procedure and solving the initial guess problem without the aid of an external device, estimation accuracy of the system parameters is significantly improved. In three self-calibration experiments, with ADM repeatability of approximately 3.4 µm, the maximum deviation of the system parameters estimated by the proposed self-calibration method was 68.6 µm, while the maximum deviation estimated by the conventional self-calibration method was 711.9 µm. Validation of 3D coordinate measurements in a 1000 mm × 1000 mm × 1000 mm volume showed good agreement between the proposed ADM-based MLTS and a commercial laser tracker, where the maximum difference based on the standard deviation was 17.7 µm. Conversely, the maximum difference was 98.8 µm using the conventional self-calibration method. These results confirmed the efficiency and feasibility of the proposed self-calibration method.

Sensor Array Self-Calibration for Two-Dimensional Direction of Arrival Estimation

2012 ◽  
Vol 490-495 ◽  
pp. 534-537
Author(s):  
Da Wei Xiao ◽  
Jin Fang Cheng ◽  
Yi Liu
Keyword(s):  
Sensor Array ◽  
Linear Array ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Calibration Method ◽  
Estimation Accuracy ◽  
Two Dimensional ◽  
Uniform Linear Array ◽  
Actual Measurement ◽  
Self Calibration

In recent years, high-resolution Direction of Arrival (DOA) estimation with a sensor array has become indispensable for various applications. In actual measurement, however, DOA estimation accuracy is deteriorated by many error factors. For a uniform linear array (ULA), there exist algorithms for self-calibration for single-dimensional (1-D) DOA estimation. In this paper, we develop a simple self-calibration method for two-dimensional (2-D) DOA estimation with an L-shaped array.

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