發(fā)布時間：2018-08-10 19:52

【摘要】：為了提高兩步相移干涉測量術(shù)的相位重建精度,提出了一種基于分區(qū)背景估計的相位盲解調(diào)算法。該算法選取干涉圖中的一系列零值點作為種子,圍繞種子生成Voronoi圖,并將干涉圖劃分為若干區(qū)域,將區(qū)域內(nèi)全部點背景設(shè)置為種子點背景,最后拼接為完整背景。對該算法進(jìn)行了數(shù)值模擬和實驗分析。數(shù)值模擬結(jié)果表明,理想情況下該算法解調(diào)相位的均方根誤差(RMSE)接近實際背景法。實驗結(jié)果表明,相比傳統(tǒng)低通濾波方法,該算法解調(diào)相位的RMSE降低了16%。
[Abstract]:In order to improve the phase reconstruction accuracy of two-step phase shift interferometry, a phase blind demodulation algorithm based on partitioned background estimation is proposed. In this algorithm, a series of zero points in interferogram are selected as seeds, and the Voronoi map is generated around the seed. The interferogram is divided into several regions, and the background of all points in the region is set as the background of the seed point, and finally the whole background is spliced into the complete background. Numerical simulation and experimental analysis of the algorithm are carried out. Numerical simulation results show that the root-mean-square error (RMSE) of the demodulation phase of the algorithm is close to the actual background method. The experimental results show that the RMSE of demodulation phase of the algorithm is 16% lower than that of the traditional low-pass filtering method.
【作者單位】： 中國科學(xué)院深圳先進(jìn)技術(shù)研究院;香港中文大學(xué);
【基金】：深圳市技術(shù)開發(fā)項目(CXZZ20140903152826677)
【分類號】：TB96

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