UMPI Test in SIRV Distribution for the Multi-Rank Signal Model

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概要

• 論文の詳細を見る

• 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.

著者

• CUI Guolong

  University of Electronic Science and Technology of China, School of Electronic Engineering

• KONG Lingjiang

  University of Electronic Science and Technology of China, School of Electronic Engineering

• YANG Xiaobo

  University of Electronic Science and Technology of China, School of Electronic Engineering

• YANG Jianyu

  University of Electronic Science and Technology of China, School of Electronic Engineering

関連論文

• UMPI Test in SIRV Distribution for the Multi-Rank Signal Model
• UMPI Test in SIRV Distribution for the Multi-Rank Signal Model
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