A comparison of self-organizing neural networks for fast clustering of radar pulses

Signal Processing

Volumn 64, Issue 3, 1998, Pages 249-269

  Granger, Eric ^a   Savaria, Yvon ^a   Lavoie, Pierre ^b   Cantin, Marc André ^c  

^a ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

^b DEFENCE RESEARCH AND DEVELOPMENT CANADA   (Canada)

^c UNIVERSITÉ DU QUÉBEC À MONTRÉAL   (Canada)

Author keywords

Categorization; Clustering; Deinterleaving; Electronic support measures (ESM); Electronic warfare; Fuzzy Adaptive Resonance Theory; Fuzzy Min Max Clustering; Integrated Adaptive Fuzzy Clustering; Neural networks; Radar; Self organization; Self Organizing

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; ELECTRONIC WARFARE; FUZZY SETS; NEURAL NETWORKS;

AUTOMATIC RADAR PULSE DEINTERLEAVING; FUZZY ADAPTIVE RESONANCE THEORY; FUZZY MIN MAX CLUSTERING; INTEGRATED ADAPTIVE FUZZY CLUSTERING; SELF ORGANIZING FEATURE MAPPING;

MILITARY RADAR;

EID: 0031998336     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(97)00194-1     Document Type: Article

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