Phased Array Beamforming

碩士 === 國立臺灣大學 === 電機工程研究所 === 84 === This report mainly discusses the phased array beamforming in microwave imaging. Using the signals received at the array elements to proceed a self-calibration procedure in order to find the estimated ph...

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Main Authors: TSAI,YUN-SHAN, 蔡芸姍
Other Authors: TSAO,CHIEN-HO
Format: Others
Language:en_US
Published: 1996
Online Access:http://ndltd.ncl.edu.tw/handle/90916506217307290346
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spelling ndltd-TW-084NTU004420212016-07-13T04:10:50Z http://ndltd.ncl.edu.tw/handle/90916506217307290346 Phased Array Beamforming 陣列天線之相位校正 TSAI,YUN-SHAN 蔡芸姍 碩士 國立臺灣大學 電機工程研究所 84 This report mainly discusses the phased array beamforming in microwave imaging. Using the signals received at the array elements to proceed a self-calibration procedure in order to find the estimated phase error for the phase distortion. Finally generates a phase weight vector to compensate for the phase distortion and output the correct image. Starting from Parseval's Theorem and together with the Fourier Transform relationship between the received signals and the output image, we develop two algorithms both successfully find out the random phase shift at each array element. They are called The Iteration Method and The Matrix Method. In fact both Method have the same objective to minimize the leakage energy outside the illuminated sector. But the way they acheive the goal are very different. The Iteration Method, by it's name, using iterative transforms between the signal plane and image plane until the image converges. The Matrix Method, however, is eigenanalysis-based. Unlike the Iteration Method which must first decides the criteria to stop the iteration at somewhere, the Matrix Method is most powerful that it outputs a fixed solution. Also it's performance is the best among all the algorithms. TSAO,CHIEN-HO 曹建和 1996 學位論文 ; thesis 75 en_US
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language en_US
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description 碩士 === 國立臺灣大學 === 電機工程研究所 === 84 === This report mainly discusses the phased array beamforming in microwave imaging. Using the signals received at the array elements to proceed a self-calibration procedure in order to find the estimated phase error for the phase distortion. Finally generates a phase weight vector to compensate for the phase distortion and output the correct image. Starting from Parseval's Theorem and together with the Fourier Transform relationship between the received signals and the output image, we develop two algorithms both successfully find out the random phase shift at each array element. They are called The Iteration Method and The Matrix Method. In fact both Method have the same objective to minimize the leakage energy outside the illuminated sector. But the way they acheive the goal are very different. The Iteration Method, by it's name, using iterative transforms between the signal plane and image plane until the image converges. The Matrix Method, however, is eigenanalysis-based. Unlike the Iteration Method which must first decides the criteria to stop the iteration at somewhere, the Matrix Method is most powerful that it outputs a fixed solution. Also it's performance is the best among all the algorithms.
author2 TSAO,CHIEN-HO
author_facet TSAO,CHIEN-HO
TSAI,YUN-SHAN
蔡芸姍
author TSAI,YUN-SHAN
蔡芸姍
spellingShingle TSAI,YUN-SHAN
蔡芸姍
Phased Array Beamforming
author_sort TSAI,YUN-SHAN
title Phased Array Beamforming
title_short Phased Array Beamforming
title_full Phased Array Beamforming
title_fullStr Phased Array Beamforming
title_full_unstemmed Phased Array Beamforming
title_sort phased array beamforming
publishDate 1996
url http://ndltd.ncl.edu.tw/handle/90916506217307290346
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