UMPI Test in SIRV Distribution for the Multi-Rank Signal Model
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概要
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This letter mainly deals with the multi-rank signal detecting problem against Spherically Invariant Random Vector (SIRV) background with Invariance theory. It is proved that generalized likelihood ratio test (GLRT), Rao test and Wald test are all the Uniformly Most Powerful Invariant (UMPI) detectors in SIRV distributions under a mild technical condition.
- 2011-01-01
著者
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YANG Xiaobo
University of Electronic Science and Technology of China, School of Electronic Engineering
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Cui Guolong
University Of Electronic Science And Technology Of China School Of Electronic Engineering
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Yang Xiaobo
University Of Electronic Science And Technology Of China School Of Electronic Engineering
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Yang Jianyu
University Of Electronic Science And Technology Of China School Of Electronic Engineering
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Kong Lingjiang
University Of Electronic Science And Technology Of China School Of Electronic Engineering
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Kong Lingjiang
University Of Electronic Science And Technology Of China
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Yang Jianyu
University Of Electronic Science And Technology Of China
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