Fast-Time and Slow-Time Space-Time Adaptive Processing for bistatic radar interference suppression

2015 ◽  
Author(s):  
Svante Bjorklund ◽  
Anders Nelander ◽  
Mats I. Pettersson
Keyword(s):  
Interference Suppression ◽  
Space Time ◽  
Bistatic Radar ◽  
Fast Time ◽  
Adaptive Processing ◽  
Slow Time ◽  
Time Space ◽  
Space Time Adaptive Processing

scholarly journals Robust Space Time Adaptive Processing Methods for Synthetic Aperture Radar

2020 ◽  
Vol 10 (10) ◽  
pp. 3609
Author(s):  
Shijian Shen ◽  
Lan Tang ◽  
Xin Nie ◽  
Yechao Bai ◽  
Xinggan Zhang ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Interference Cancellation ◽  
Model Simulation ◽  
Space Time ◽  
Synthetic Aperture ◽  
Adaptive Processing ◽  
Slow Time ◽  
Space Time Adaptive Processing ◽  
Data Constraints ◽  
Aperture Radar

This paper proposes two modified space time adaptive processing (STAP) methods based on piecewise sub-apertures and data constraints for non-stationary interference cancellation in synthetic aperture radar (SAR) applications. In these methods, the entire synthetic aperture time is divided into several sub-apertures so that the interference can be considered as stationary in each sub-aperture. At the same time, the consistency of the echo phase in the slow time domain is preserved by the data constraint to ensure the null depth of the antenna pattern for non-stationary interference cancellation and the performance of azimuth focusing in SAR. The proposed algorithms are validated through the model simulation and measured data.

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.

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