Modeling and simulation methods of sea clutter based on measured data

2020 ◽  
pp. 2050068
Author(s):  
Rui Wang ◽  
Xiangyang Li ◽  
Zhili Zhang ◽  
Hongguang Ma
Keyword(s):  
Modeling And Simulation ◽  
Statistical Models ◽  
Likelihood Estimation ◽  
Measured Data ◽  
Simulation Methods ◽  
Random Series ◽  
Sea Clutter ◽  
Instantaneous Phase ◽  
Data Generator ◽  
Statistic Model

The modeling and simulation of sea clutter are important in detecting radar targets in sea backgrounds. Because the nonstationary property of sea clutter is ignored in traditional statistical models, a new method based on measured sea clutter is proposed in this paper. First, we convert the measured sea clutter data under different sea conditions [[Formula: see text]] into real amplitude [Formula: see text]. Instantaneous phase [Formula: see text] is then extracted from the coherent radar’s baseband data. Second, we select a candidate statistic model and estimate its parameters based on [Formula: see text] by utilizing maximum likelihood estimation. Finally, we generate random series [Formula: see text] using corresponding random data generator and then add instantaneous phase [Formula: see text] into [Formula: see text], i.e., [Formula: see text], to obtain simulated sea clutter series. Through a comparison of simulated sea clutter and measured sea clutter data via histogram, the validity of the proposed method is proved.

Realistic Synthetic Sea-Clutter Generation for Electronically Scanned Radar

2020 ◽  
Author(s):  
Sabrina Machhour ◽  
Stephane Kemkemian ◽  
Pierre-Albert Breton ◽  
Vincent Corretja
Keyword(s):  
Sea Clutter
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