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Conference on Infrared and Photoelectronic Imagers and Detector Devices

作者： Lang, Haitao Liu, Liren Yang, Qingguo Chinese Acad Sci Shanghai Inst Opt & Fine Mech POB 800-211 Shanghai 201800 Peoples R China

ISBN: (纸本)0819463736

coded aperture imaging (CAI) has evolved as a standard technique for imaging high energy photon sources and has found numerous applications. coded aperture arrays (CAAs) are the most important devices in the applications of CAI. In recent years, many approaches were presented to design optimum or near-optimum CAAs. Uniformly redundant arrays (URAs) are the most successful CAAs for their cyclic autocorrelation consisting of a sequence of delta functions on a flat sidelobe which can easily be subtracted when the object has been reconstructed. Unfortunately, the existing methods can only be used to design URAs with limited number of array sizes and fixed autocorrelative sidelobe-to-peak ratio. In this paper, we presented a method to design more flexible URAs by means of a global optimization algorithm named DIRECT. By our approaches, we obtain various types of URAs including the filled URAs which can be constructed by existing methods and the sparse URAs which never be constructed and mentioned by existing papers as far as we know.

关键词： coded aperture arrays filled URAs sparse URAs global optimization algorithm DIRECT

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Design of URAs by DIRECT global optimization algorithm

引用

OPTIK 2009年第8期120卷 370-373页

作者： Lang, Haitao Liu, Liren Yang, Qingguo Beijing Univ Chem Technol Beijing 100029 Peoples R China Chinese Acad Sci Shanghai Inst Opt & Fine Mech Shanghai 201800 Peoples R China

coded aperture imaging (CAI) has evolved as a standard technique for imaging high-energy photon sources and has found numerous applications. coded aperture arrays (CAAs) are the most important devices in the applications of CAI. In recent years, many approaches were presented to design optimum or near-optimum CAAs. Uniformly redundant arrays (URAs) are the most successful CAAs for their cyclic autocorrelation consisting of a sequence of delta functions on a flat sidelobe, which can easily be subtracted when the object has been reconstructed. Unfortunately, the existing methods can only be used to design URAs with limited number of array sizes and fixed autocorrelative sidelobe-to-peak ratio. In this paper, we presented a method to design more flexible URAs by means of a global optimization algorithm named DIRECT. By our approaches, we obtain various types of URAs including the filled URAs which can be constructed by existing methods and the sparse URAs which have never been constructed and mentioned by existing papers as far as we know. (C) 2007 Elsevier GmbH. All rights reserved.

关键词： coded aperture arrays Filled URAs Sparse URAs Global optimization algorithm DIRECT

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