scholarly journals Slow-Time Code Design for Space-Time Adaptive Processing in Airborne Radar

Entropy ◽  
2021 ◽  
Vol 23 (9) ◽  
pp. 1169
Author(s):  
Shiyi Li ◽  
Na Wang ◽  
Jindong Zhang ◽  
Chenyan Xue ◽  
Daiyin Zhu
Keyword(s):  
Doppler Frequency ◽  
Space Time ◽  
Airborne Radar ◽  
Code Design ◽  
Adaptive Processing ◽  
Time Code ◽  
Slow Time ◽  
Alternating Direction ◽  
Radar Applications ◽  
Space Time Adaptive Processing

Space-time adaptive processing (STAP) techniques have been motivated as a key enabling technology for advanced airborne radar applications. In this paper, a slow-time code design is considered for the STAP technique in airborne radar, and the principle for improving signal-to-clutter and noise ratio (SCNR) based on slow-time coding is given. We present two algorithms for the optimization of transmitted codes under the energy constraint on a predefined area of spatial-frequency and Doppler-frequency plane. The proposed algorithms are constructed based on convex optimization (CVX) and alternating direction (AD), respectively. Several criteria regarding parameter selection are also given for the optimization process. Numerical examples show the feasibility and effectiveness of the proposed methods.

scholarly journals Sparse Bayesian Learning-Based Space-Time Adaptive Processing With Off-Grid Self-Calibration for Airborne Radar

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 47296-47307 ◽  
Author(s):  
Huadong Yuan ◽  
Hong Xu ◽  
Keqing Duan ◽  
Wenchong Xie ◽  
Weijian Liu ◽  
...  
Keyword(s):  
Bayesian Learning ◽  
Space Time ◽  
Airborne Radar ◽  
Sparse Bayesian Learning ◽  
Adaptive Processing ◽  
Self Calibration ◽  
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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