scholarly journals A Calibration Method of Phase Error Caused by Target’s Position Error

2021 ◽  
Vol 187 ◽  
pp. 188-193
Author(s):  
Fang Liu ◽  
Ming Lyn ◽  
Haohao Hou
2021 ◽  
Vol 11 (3) ◽  
pp. 1287
Author(s):  
Tianyan Chen ◽  
Jinsong Lin ◽  
Deyu Wu ◽  
Haibin Wu

Based on the current situation of high precision and comparatively low APA (absolute positioning accuracy) in industrial robots, a calibration method to enhance the APA of industrial robots is proposed. In view of the "hidden" characteristics of the RBCS (robot base coordinate system) and the FCS (flange coordinate system) in the measurement process, a comparatively general measurement and calibration method of the RBCS and the FCS is proposed, and the source of the robot terminal position error is classified into three aspects: positioning error of industrial RBCS, kinematics parameter error of manipulator, and positioning error of industrial robot end FCS. The robot position error model is established, and the relation equation of the robot end position error and the industrial robot model parameter error is deduced. By solving the equation, the parameter error identification and the supplementary results are obtained, and the method of compensating the error by using the robot joint angle is realized. The Leica laser tracker is used to verify the calibration method on ABB IRB120 industrial robot. The experimental results show that the calibration method can effectively enhance the APA of the robot.


Author(s):  
Zachary Baum

Purpose: Augmented reality overlay systems can be used to project a CT image directly onto a patient during procedures. They have been actively trialed for computer-guided procedures, however they have not become commonplace in practice due to restrictions of previous systems. Previous systems have not been handheld, and have had complicated calibration procedures. We put forward a handheld tablet-based system for assisting with needle interventions. Methods: The system consists of a tablet display and a 3-D printed reusable and customizable frame. A simple and accurate calibration method was designed to align the patient to the projected image. The entire system is tracked via camera, with respect to the patient, and the projected image is updated in real time as the system is moved around the region of interest. Results: The resulting system allowed for 0.99mm mean position error in the plane of the image, and a mean position error of 0.61mm out of the plane of the image. This accuracy was thought to be clinically acceptable for tool using computer-guidance in several procedures that involve musculoskeletal needle placements. Conclusion: Our calibration method was developed and tested using the designed handheld system. Our results illustrate the potential for the use of augmented reality handheld systems in computer-guided needle procedures. 


2017 ◽  
Vol 75 ◽  
pp. 111-119
Author(s):  
Wenhao Du ◽  
Wen-Tao Li ◽  
Xiao-Wei Shi

Author(s):  
Wei Zhang ◽  
Minglei Yang ◽  
Baixiao Chen ◽  
Yuxi Lin ◽  
Jing Wang

2017 ◽  
Vol 6 (0) ◽  
pp. 10
Author(s):  
Min XU ◽  
Guang-ming HUANG ◽  
Yan-ni Shen ◽  
Jiang-bo LIU ◽  
Li WANG ◽  
...  

Author(s):  
He Huang ◽  
Penghui Huang ◽  
Huaitao Fan ◽  
Yanyang Liu ◽  
Xingzhao Liu ◽  
...  

2018 ◽  
Vol 11 (2) ◽  
pp. 105-113 ◽  
Author(s):  
Wencan Peng ◽  
Chenjiang Guo ◽  
Min Wang ◽  
Yuteng Gao

AbstractA novel online antenna array calibration method is presented in this paper for estimating direction-of-arrival (DOA) in the case of uncorrelated and coherent signals with unknown gain-phase errors. Conventional calibration methods mainly consider incoherent signals for uniform linear arrays with gain-phase errors. The proposed method has better performance not only for uncorrelated signals but also for coherent signals. First, an on-grid sparse technique based on the covariance fitting criteria is reformulated aiming at gain-phase errors to obtain DOA and the corresponding source power, which is robust to coherent sources. Second, the gain-phase errors are estimated in the case of uncorrelated and coherent signals via introducing an exchange matrix as the pre-processing of a covariance matrix and then decomposing the eigenvalues of the covariance matrix. Those parameters estimate values converge to the real values by an alternate iteration process. The proposed method does not require the presence of calibration sources and previous calibration information unlike offline ways. Simulation results verify the effectiveness of the proposed method which outperforms the traditional approaches.


2020 ◽  
Vol 186 ◽  
pp. 106416 ◽  
Author(s):  
Jianmin Li ◽  
Yuxiang Yang ◽  
Zhaosheng Teng ◽  
Fu Zhang ◽  
Haowen Zhong ◽  
...  

2020 ◽  
Vol 12 (17) ◽  
pp. 2761
Author(s):  
Chen Zhao ◽  
Zezong Chen ◽  
Jian Li ◽  
Fan Ding ◽  
Weimin Huang ◽  
...  

Shore-based phased-array HF radars have been widely used for remotely sensing ocean surface current, wave, and wind around the world. However, phase uncertainties, especially phase distortions, in receiving elements significantly degrade the performance of beam forming and direction-of-arrival (DOA) estimation for phased-array HF radar. To address this problem, the conventional array signal model is modified by adding a direction-based phase error matrix. Subsequently, an array phase manifold calibration method using antenna responses of incoming ship echoes is proposed. Later, an assessment on the proposed array calibration method is made based on the DOA estimations and current measurements that are obtained from the datasets that were collected with a multi-frequency HF (MHF) radar. MHF radar-estimated DOAs using three calibration strategies are compared with the ship directions that are provided by an Automatic Identification System (AIS). Additionally, comparisons between the MHF radar-derived currents while using three calibration strategies and Acoustic Doppler Current Profilers (ADCP)-measured currents are made. The results indicate that the proposed array calibration method is effective in DOA estimation and current measurement for phased-array HF radars, especially in the phase distortion situation.


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