Uniformly most powerful invariant detection in spherically invariant random vector distributed clutter

被引：14
|
作者：
De Maio, A. [1 ]
Conte, E. [1 ]
机构：
[1] Univ Naples Federico 2, Dipartimento Ingn Biomed Elettron & Telecomunicaz, I-80125 Naples, Italy
来源：
IET RADAR SONAR AND NAVIGATION | 2010年 / 4卷 / 04期
关键词：
STATISTICAL-ANALYSIS; RADAR CLUTTER;
D O I：
10.1049/iet-rsn.2009.0128
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This study deals with the problem of detecting a radar target with unknown complex amplitude in the presence of clutter modelled as a spherically invariant random vector (SIRV). It is proved that, under a quite mild technical condition, the normalised matched filter (NMF) is the uniformly most powerful invariant (UMPI) detector in SIRV disturbance. The developed proof is based on the theory of total positive functions of order two.
引用
收藏
页码：560 / 563
页数：4
相关论文
共 50 条
  • [41] Evaluation of spherically invariant random process parameters as discriminators for speaker verification
    San Filippo, J
    DeLeon, P
    IEEE 11TH DIGITAL SIGNAL PROCESSING WORKSHOP & 2ND IEEE SIGNAL PROCESSING EDUCATION WORKSHOP, 2004, : 307 - 310
  • [42] Music and model-order selection for spherically invariant random vectors
    Bausson, Sebastien
    Forster, Philippe
    2006 FORTIETH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1-5, 2006, : 2257 - +
  • [43] Locally Most Powerful Invariant Tests for the Properness of Quaternion Gaussian Vectors
    Via, Javier
    Vielva, Luis
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2012, 60 (03) : 997 - 1009
  • [44] A note on the most powerful invariant test of Rayleigh against exponential distribution
    Rasekhi, A.
    Sadooghi-Alvandi, S. M.
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2020, 49 (19) : 4762 - 4770
  • [45] Locally Most Powerful Invariant Tests for Correlation and Sphericity of Gaussian Vectors
    Ramirez, David
    Via, Javier
    Santamaria, Ignacio
    Scharf, Louis L.
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2013, 59 (04) : 2128 - 2141
  • [46] Detection of narrow-band signals in spherically invariant noise
    Izzo, L
    Tanda, M
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1997, 102 (03): : 1689 - 1695
  • [47] An Asymptotically Uniformly Most Powerful Test for LSB Matching Detection
    Cogranne, Remi
    Retraint, Florent
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2013, 8 (03) : 464 - 476
  • [48] UNIFORMLY MOST POWERFUL DETECTION FOR INTEGRATE AND FIRE TIME ENCODING
    Fillatre, Lionel
    Nikiforov, Igor
    Antonini, Marc
    Atto, Abdourrahmane
    2014 PROCEEDINGS OF THE 22ND EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2014, : 1103 - 1107
  • [49] ROLL INVARIANT TARGET DETECTION BASED ON POLSAR CLUTTER MODELS
    Bombrun, Lionel
    Vasile, Gabriel
    Gay, Michel
    Ovarlez, Jean-Philippe
    Pascal, Frederic
    2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 2511 - 2514
  • [50] Invariant random fields in vector bundles and application to cosmology
    Malyarenko, Anatoliy
    ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES, 2011, 47 (04): : 1068 - 1095
12345