Array pattern synthesis using eigen-analysis

One of the basic problems in array design is to synthesize desired array patterns that are independent of measured array data statistics. In this thesis, we consider the desired array patterns including the maximum-gain, minimum-gain, single lookdirection and shaped patterns. Despite the different d...

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Bibliographic Details
Main Author: Wen, Yuan
Other Authors: Gan Woon Seng
Format: Thesis
Published: 2008
Subjects:
Online Access:https://hdl.handle.net/10356/3730
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author Wen, Yuan
author2 Gan Woon Seng
author_facet Gan Woon Seng
Wen, Yuan
author_sort Wen, Yuan
collection NTU
description One of the basic problems in array design is to synthesize desired array patterns that are independent of measured array data statistics. In this thesis, we consider the desired array patterns including the maximum-gain, minimum-gain, single lookdirection and shaped patterns. Despite the different definitions of desired array patterns, it is possible to study the pattern synthesis problems in one framework based on eigen-analysis. This thesis presents original work on the following areas in synthesizing desired array patterns: (i) A target-oriented array-mode (TOAM) technique for analyzing general array pattern-synthesis systems based on eigen-analysis. (ii) An acoustical-hotspot generation method using the maximum-gain TOAM as the optimal array weight. (iii) A new analysis method using lower-gain TOAMs for deriving the optimal weights of secondary-sources in quiet-zone generation. (iv) A new method for the synthesis of single look-direction pattern and shaped array pattern based on a nonlinear optimization algorithm using TOAM series expansion. (v) A new iterative method for synthesizing single look-direction pattern and shaped array pattern with equal-level sidelobes.
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spelling ntu-10356/37302023-07-04T16:42:46Z Array pattern synthesis using eigen-analysis Wen, Yuan Gan Woon Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition One of the basic problems in array design is to synthesize desired array patterns that are independent of measured array data statistics. In this thesis, we consider the desired array patterns including the maximum-gain, minimum-gain, single lookdirection and shaped patterns. Despite the different definitions of desired array patterns, it is possible to study the pattern synthesis problems in one framework based on eigen-analysis. This thesis presents original work on the following areas in synthesizing desired array patterns: (i) A target-oriented array-mode (TOAM) technique for analyzing general array pattern-synthesis systems based on eigen-analysis. (ii) An acoustical-hotspot generation method using the maximum-gain TOAM as the optimal array weight. (iii) A new analysis method using lower-gain TOAMs for deriving the optimal weights of secondary-sources in quiet-zone generation. (iv) A new method for the synthesis of single look-direction pattern and shaped array pattern based on a nonlinear optimization algorithm using TOAM series expansion. (v) A new iterative method for synthesizing single look-direction pattern and shaped array pattern with equal-level sidelobes. DOCTOR OF PHILOSOPHY (EEE) 2008-09-17T09:36:15Z 2008-09-17T09:36:15Z 2006 2006 Thesis Wen, Y. (2006). Array pattern synthesis using eigen-analysis. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/3730 10.32657/10356/3730 Nanyang Technological University application/pdf
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Wen, Yuan
Array pattern synthesis using eigen-analysis
title Array pattern synthesis using eigen-analysis
title_full Array pattern synthesis using eigen-analysis
title_fullStr Array pattern synthesis using eigen-analysis
title_full_unstemmed Array pattern synthesis using eigen-analysis
title_short Array pattern synthesis using eigen-analysis
title_sort array pattern synthesis using eigen analysis
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
url https://hdl.handle.net/10356/3730
work_keys_str_mv AT wenyuan arraypatternsynthesisusingeigenanalysis