{"title":"基于fft的Von Karman相位屏中低频分量补偿的亚谐波与泽尼克多项式方法的性能比较","authors":"Ling Zhu, Yan Li, D. Zheng, Jian Wu","doi":"10.1109/WCSP.2015.7341032","DOIUrl":null,"url":null,"abstract":"We compensate the phase screens generated by the Fourier Transform method based on Kolmogorov and Von Karman spectrum models with subharmonic method and Zernike polynomials. Then we present the performance comparison of these two compensation methods. The results show that in Kolmogorov spectrum model, Zernike polynomials have better compensation effect but in Von Karman spectrum model, subharmonic method can compensate the phase screens more accurately.","PeriodicalId":164776,"journal":{"name":"2015 International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"87 10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Performance comparison of subharnomic and Zernike polynomials method for compensation of low-frequency components in FFT-based Von Karman phase screen\",\"authors\":\"Ling Zhu, Yan Li, D. Zheng, Jian Wu\",\"doi\":\"10.1109/WCSP.2015.7341032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We compensate the phase screens generated by the Fourier Transform method based on Kolmogorov and Von Karman spectrum models with subharmonic method and Zernike polynomials. Then we present the performance comparison of these two compensation methods. The results show that in Kolmogorov spectrum model, Zernike polynomials have better compensation effect but in Von Karman spectrum model, subharmonic method can compensate the phase screens more accurately.\",\"PeriodicalId\":164776,\"journal\":{\"name\":\"2015 International Conference on Wireless Communications & Signal Processing (WCSP)\",\"volume\":\"87 10\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Wireless Communications & Signal Processing (WCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSP.2015.7341032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Wireless Communications & Signal Processing (WCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2015.7341032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance comparison of subharnomic and Zernike polynomials method for compensation of low-frequency components in FFT-based Von Karman phase screen
We compensate the phase screens generated by the Fourier Transform method based on Kolmogorov and Von Karman spectrum models with subharmonic method and Zernike polynomials. Then we present the performance comparison of these two compensation methods. The results show that in Kolmogorov spectrum model, Zernike polynomials have better compensation effect but in Von Karman spectrum model, subharmonic method can compensate the phase screens more accurately.