Analysis and Compensation of Phase Error Caused by Noise and Nonlinear Response of 3-D Measurement System

相位噪声 噪音(视频) 相(物质) 非线性系统 高斯噪声 噪声测量 均方误差 观测误差 高斯分布 补偿(心理学) 控制理论(社会学) 工作(物理) 数学 计算机科学 算法 统计 声学 光学 物理 降噪 人工智能 图像(数学) 热力学 心理学 量子力学 控制(管理) 精神分析
作者
Jianhua Wang,Yanxi Yang
出处
期刊:IEEE Transactions on Instrumentation and Measurement [Institute of Electrical and Electronics Engineers]
卷期号:71: 1-15 被引量:2
标识
DOI:10.1109/tim.2022.3200430
摘要

For static objects where the fringes are not saturated, the phase accuracy is mainly affected by the unavoidable factors of the introduction of fringe noise and the nonlinear response of the measurement system. The existing noise-induced phase error model is based on a Gaussian noise model, but in fact the noise of the fringe pattern is random. In this work, we establish a new evaluation method that directly converts the noise variance into phase variance, and we compare the anti-noise performance of the three-step and four-step phase-shift methods according to the phase error coefficient. Theoretical and experimental results confirm that the anti-noise performance of the four-step phase-shifting method is 25% higher than that of the three-step phase-shifting method. Subsequently, we also established a phase error model for the nonlinear response of the three-dimensional (3D) measurement system. Since the low measurement efficiency of the existing double N-step phase-shifting (DNPS) method, an improved double N-step phase-shifting (IDNPS) method is proposed. The RMSE of the compensated phase with IDNPS is approximately equal to that with DNPS, but the number of additional fringes with IDNPS is reduced to half that with DNPS. The total time cost of using IDNPS is reduced to 68.5% of using DNPS. Simulations and experiments are conducted to verify the validity of the theoretical analysis results.
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