IEICE Transactions on Communications
Online ISSN : 1745-1345
Print ISSN : 0916-8516
Regular Section
UMPI Test in SIRV Distribution for the Multi-Rank Signal Model
Guolong CUILingjiang KONGXiaobo YANGJianyu YANG
著者情報
キーワード: SIRV, GLRT, Rao test, Wald test, UMPI
ジャーナル 認証あり

2011 年 E94.B 巻 1 号 p. 368-371

詳細
抄録
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.
著者関連情報
© 2011 The Institute of Electronics, Information and Communication Engineers
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