scholarly journals Polarisation-space-time adaptive processing for heterogeneous clutter suppression of airborne-phased array radar

2019 ◽  
Vol 2019 (19) ◽  
pp. 5936-5939
Author(s):  
Yuze Sun ◽  
Jian Yang ◽  
Xiaopeng Yang
Keyword(s):  
Phased Array ◽  
Space Time ◽  
Adaptive Processing ◽  
Clutter Suppression ◽  
Phased Array Radar ◽  
Airborne Phased Array Radar ◽  
Space Time Adaptive Processing

scholarly journals STAP Optimization of Airborne Phased Array Radar in Nonuniform Environment Based on EFA Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Bin Tang ◽  
Xiaoxia Zheng ◽  
Mingxin Liu ◽  
Mengxu Fang
Keyword(s):  
Dimensionality Reduction ◽  
Spatial Data ◽  
Phased Array ◽  
Small Sample ◽  
Sample Number ◽  
Phased Array Radar ◽  
Data Dimensionality Reduction ◽  
Airborne Phased Array Radar ◽  
Processing Optimization ◽  
Space Time Adaptive Processing

EFA (extended factored approach) algorithm is the main method of space-time adaptive processing technology (STAP) for airborne phased array radar, but it is faced with many problems, such as large number of samples and large amount of calculation. Therefore, this paper uses a method of spatial data dimensionality reduction processing based on cyclic iterative calculation to optimize its STAP. The final experimental results show that, after spatial data dimensionality reduction processing optimization, the STAP performance of EFA algorithm is further expanded in the range of sample number adaptation; especially in the case of small sample number, the optimized STAP performance has been basically close to the ideal compared with other optimization schemes; tap performance also proves that the optimization scheme in this paper has better convergence speed and STAP performance.

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