Monte-Carlo based estimation methods for rapidly-varying sea clutter

2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings

Volumn , Issue , 2009, Pages 256-261

  Li, Ying ^a   Moran, William ^b   Sira, Sandeep P ^a   Papandreou Suppappola, Antonia ^a   Morrell, Darryl ^c  

^a ARIZONA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF MELBOURNE   (Australia)

^c Arizona State University   (United States)

Author keywords

Covariance matrix estimation; Monte Carlo simulations; Multiple particle filtering; Weibull distribution

Indexed keywords

CLUTTER COVARIANCE MATRIXES; COVARIANCE MATRIX ESTIMATION; DETECTION PROBLEMS; ESTIMATION METHODS; HEAVY SEAS; MATRIXES; MONTE CARLO SIMULATIONS; MONTE-CARLO; MULTIPLE PARTICLE FILTERING; SCATTERING FUNCTIONS; SEA CLUTTERS; SMALL MOVING TARGETS;

ACOUSTIC SIGNAL PROCESSING; CLUTTER (INFORMATION THEORY); COVARIANCE MATRIX; DIGITAL SIGNAL PROCESSING; ESTIMATION; NONLINEAR FILTERING; OCEANOGRAPHIC INSTRUMENTS; OPTICAL RESOLVING POWER; RADAR CLUTTER; SEAWATER; SIGNAL PROCESSING; TECHNICAL PRESENTATIONS; WEIBULL DISTRIBUTION;

MONTE CARLO METHODS;

EID: 63649101240     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DSP.2009.4785931     Document Type: Conference Paper

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