Performance Analysis and Algorithms Design for Direction-of-Arrival Estimation using Wideband Vector Sensor Array
碩士 === 國立中正大學 === 通訊工程學系 === 98 === Sensor array signal processing has been an area of great research interests in recent years. The major technique in the past is base on the narrowband signal processing using scalar sensors, which cannot exploit the diversity of frequency spectrum and the informat...
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ndltd-TW-098CCU056500712015-10-13T18:25:31Z http://ndltd.ncl.edu.tw/handle/33490866887012087455 Performance Analysis and Algorithms Design for Direction-of-Arrival Estimation using Wideband Vector Sensor Array 寬頻向量式感測器於方位估計上的演算法設計與效能評估 Sheng-Hsiung Huang 黃聖雄 碩士 國立中正大學 通訊工程學系 98 Sensor array signal processing has been an area of great research interests in recent years. The major technique in the past is base on the narrowband signal processing using scalar sensors, which cannot exploit the diversity of frequency spectrum and the information embedded in the measured particle velocity, in order to improve the accuracy of DOA estimation, we try to extend narrowband technique using scalar sensors to wideband using vector sensors. We introduce wideband vector sensor model and perform the Cramer-Rao bound (CRB) and the mean-square angular error bound (MSAEB) analyses. We first extend the narrowband algorithm to wideband using the coherent signal subspace method (CSSM). In contrast to the RSS (rotational signal subspace), which need DOA information to form the focusing matrix, we propose the Modified BI-CSM to avoid this requirement. We then derived the maximum likelihood and MUSIC algorithm and propose two fast low complex algorithm base on the ESPRIT algorithm. Finally, we compare each algorithm of performance analysis by computer simulation. Chiao-En Chen 陳喬恩 2010 學位論文 ; thesis 71 zh-TW |
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碩士 === 國立中正大學 === 通訊工程學系 === 98 === Sensor array signal processing has been an area of great research interests in recent years. The major technique in the past is base on the narrowband signal processing using scalar sensors, which cannot exploit the diversity of frequency spectrum and the information embedded in the measured particle velocity, in order to improve the accuracy of DOA estimation, we try to extend narrowband technique using scalar sensors to wideband using vector sensors. We introduce wideband vector sensor model and perform the Cramer-Rao bound (CRB) and the mean-square angular error bound (MSAEB) analyses. We first extend the narrowband algorithm to wideband using the coherent signal subspace method (CSSM). In contrast to the RSS (rotational signal subspace), which need DOA information to form the focusing matrix, we propose the Modified BI-CSM to avoid this requirement. We then derived the maximum likelihood and MUSIC algorithm and propose two fast low complex algorithm base on the ESPRIT algorithm. Finally, we compare each algorithm of performance analysis by computer simulation.
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author2 |
Chiao-En Chen |
author_facet |
Chiao-En Chen Sheng-Hsiung Huang 黃聖雄 |
author |
Sheng-Hsiung Huang 黃聖雄 |
spellingShingle |
Sheng-Hsiung Huang 黃聖雄 Performance Analysis and Algorithms Design for Direction-of-Arrival Estimation using Wideband Vector Sensor Array |
author_sort |
Sheng-Hsiung Huang |
title |
Performance Analysis and Algorithms Design for Direction-of-Arrival Estimation using Wideband Vector Sensor Array |
title_short |
Performance Analysis and Algorithms Design for Direction-of-Arrival Estimation using Wideband Vector Sensor Array |
title_full |
Performance Analysis and Algorithms Design for Direction-of-Arrival Estimation using Wideband Vector Sensor Array |
title_fullStr |
Performance Analysis and Algorithms Design for Direction-of-Arrival Estimation using Wideband Vector Sensor Array |
title_full_unstemmed |
Performance Analysis and Algorithms Design for Direction-of-Arrival Estimation using Wideband Vector Sensor Array |
title_sort |
performance analysis and algorithms design for direction-of-arrival estimation using wideband vector sensor array |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/33490866887012087455 |
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