منابع مشابه
Uncovering Nonlinear Dynamics—The Case Study of Sea Clutter
Nonlinear dynamics are basic to the characterization of many physical phenomena encountered in practice. Typically, we are given a time series of some observable(s) and the requirement is to uncover the underlying dynamics responsible for generating the time series. This problem becomes particularly challenging when the process and measurement equations of the dynamics are both nonlinear and no...
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Surveillance radars used at sea need to suppress the signal received back from the sea surface, in order to improve the probability of detecting target signals. This paper investigates whether nonlinear predictor networks can be used to improve the suppression of sea clutter, and thus to improve the performance of maritime surveillance radar detectors.
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Modeling sea clutter by chaotic dynamics has been an exciting yet heatedly debated topic. To resolve controversies associated with this approach, we use the scale-dependent Lyapunov exponent (SDLE) to study sea clutter. The SDLE has been shown to be able to unambiguously distinguish chaos from noise. Our analyses of almost 400 sea clutter datasets measured by Professor Simon Haykin suggest that...
متن کاملOn modeling sea clutter by noisy chaotic dynamics
Modeling sea clutter by chaotic dynamics has been an exciting yet heatedly debated topic. To resolve controversies associated with this approach, we use the scale-dependent Lyapunov exponent (SDLE) to study sea clutter. The SDLE has been shown to be able to unambiguously distinguish chaos from noise. Our analyses of almost 400 sea clutter datasets measured by Professor Simon Haykin suggest that...
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ژورنال
عنوان ژورنال: International Journal of Navigation and Observation
سال: 2008
ISSN: 1687-5990,1687-6008
DOI: 10.1155/2008/863129