Weighted knowledge-aided space time adaptive processing in heterogeneous environments

2016 ◽  
Author(s):  
Xuefang Lin ◽  
Tong Wang ◽  
Jianxin Wu ◽  
Yifeng Wu
Keyword(s):  
Space Time ◽  
Heterogeneous Environments ◽  
Adaptive Processing ◽  
Space Time Adaptive Processing

scholarly journals A Modified Fast Approximated Power Iteration Subspace Tracking Method for Space-Time Adaptive Processing

2010 ◽  
Vol 2010 ◽  
pp. 1-6
Author(s):  
Yang Zhiwei ◽  
He Shun ◽  
Liao Guisheng ◽  
Ouyang Shan
Keyword(s):  
Processing Technique ◽  
Space Time ◽  
Heterogeneous Environments ◽  
Adaptive Processing ◽  
Subspace Tracking ◽  
Performance Simulation ◽  
Power Iteration ◽  
Radar Applications ◽  
Tracing Algorithm ◽  
Space Time Adaptive Processing

We propose a subspace-tracking-based space-time adaptive processing technique for airborne radar applications. By applying a modified approximated power iteration subspace tracing algorithm, the principal subspace in which the clutter-plus-interference reside is estimated. Therefore, the moving targets are detected by projecting the data on the minor subspace which is orthogonal to the principal subspace. The proposed approach overcomes the shortcomings of the existing methods and has satisfactory performance. Simulation results confirm that the performance improvement is achieved at very small secondary sample support, a feature that is particularly attractive for applications in heterogeneous environments.

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