Matched symmetrical subspace detector

被引:0
|
作者
Golikov, Victor S. [1 ]
Pareja, Francisco C. [1 ]
机构
[1] Ciencia y Tecnologia del Mayab, Yucatan, Mexico
关键词
Algorithms - Mathematical models - Mathematical transformations - Matrix algebra - Maximum likelihood estimation - Normal distribution - Optimization - Radar systems;
D O I
暂无
中图分类号
学科分类号
摘要
The optimal detection/estimation algorithms require large computing expenditures in the radar, sonar and etc. The paper presents the new Uniformly Most Powerful Test for matched detecting of the symmetrical signal subspace. The general (logical) shift operators group is used for describing of the symmetry. This algorithm may be used to reduce the complexity of matched detector for unknown signal subspace and for a signal processing in real time. The reduction brings appreciable hardware gains and a small performance penalties in some radar systems. The signal subspace model for moving-target indication in radar is considered. We used the new approach for creation of the sub-optimal detector with minimal computing expenditures.
引用
收藏
页码:83 / 85
相关论文
共 50 条
  • [41] Matched shrunken subspace detectors for hyperspectral target detection
    Wang, Ziyu
    Xue, Jing-Hao
    NEUROCOMPUTING, 2018, 272 : 226 - 236
  • [42] Improved electromagnetic induction processing with novel adaptive matched filter and matched subspace detection
    Hayes, Charles Ethan
    McClellan, James H.
    Scott, Waymond R., Jr.
    Kerr, Andrew J.
    DETECTION AND SENSING OF MINES, EXPLOSIVE OBJECTS, AND OBSCURED TARGETS XXI, 2016, 9823
  • [43] Adaptive matched subspace detectors for hyperspectral imaging applications
    Manolakis, D
    Siracusa, C
    Shaw, G
    2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING - VOL IV: SIGNAL PROCESSING FOR COMMUNICATIONS; VOL V: SIGNAL PROCESSING EDUCATION SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO & ELECTROACOUSTICS; VOL VI: SIGNAL PROCESSING THEORY & METHODS STUDENT FORUM, 2001, : 3153 - 3156
  • [44] A canonical representation for distributions of adaptive matched subspace detectors
    Kraut, S
    McWhorter, LT
    Scharf, LL
    THIRTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 1998, : 1331 - 1335
  • [45] Adaptive matched subspace detectors and adaptive coherence estimators
    Scharf, LL
    McWhorter, LT
    THIRTIETH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 1997, : 1114 - 1117
  • [46] Subspace SNR Maximization: The Constrained Stochastic Matched Filter
    Borloz, Bruno
    Xerri, Bernard
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2011, 59 (04) : 1346 - 1355
  • [47] Matched Subspace Detection With Hypothesis Dependent Noise Power
    Vincent, Franois
    Besson, Olivier
    Richard, Cedric
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 56 (11) : 5713 - 5718
  • [48] Kernel matched subspace detectors for hyperspectral target detection
    Kwon, H
    Nasrabadi, NM
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2006, 28 (02) : 178 - 194
  • [49] Adaptive robust constrained matched filter and subspace detection
    Desai, M
    Mangoubi, R
    THIRTY-SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS - CONFERENCE RECORD, VOLS 1 AND 2, CONFERENCE RECORD, 2002, : 768 - 772
  • [50] MATCHED SUBSPACE DETECTION USING COMPRESSIVELY SAMPLED DATA
    Zhang, Dejiao
    Balzano, Laura
    2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2017, : 4601 - 4605