Analytic modeling and three-dimensional imaging of downward-looking SAR using bistatic uniform linear array antennas

2007 ◽  
Author(s):  
Lei Du ◽  
Yan-ping Wang ◽  
Wen Hong ◽  
Yi-rong Wu
Keyword(s):  
Linear Array ◽  
Three Dimensional ◽  
Uniform Linear Array ◽  
Three Dimensional Imaging ◽  
Analytic Modeling ◽  
Array Antennas

An Improved Clutter Suppression Method for Non-Sidelooking Uniform Linear Array Antennas Airborne Radar

2013 ◽  
Vol 681 ◽  
pp. 175-180
Author(s):  
Jun Zhao ◽  
Xu Hang
Keyword(s):  
Linear Array ◽  
Compensation Method ◽  
Airborne Radar ◽  
Clutter Suppression ◽  
Uniform Linear Array ◽  
Array Antennas ◽  
Compensation Methods ◽  
Suppression Method ◽  
Simulation Results ◽  
Independent Identically Distributed

The clutter distribution of airborne radar with non-sidelooking uniform linear array antennas varies with ranges and samples in different range gates are not independent identically distributed vectors, so that the statistical STAP methods degrade greatly. In this paper, an improved clutter range dependence compensation method for airborne radar with uniform linear array is proposed. This method involves in a preprocessing with ADC method to align the mainlobe of clutter spectrum in different range gates and subsequently clutter suppression in other azimuths with EDBU technology. Simulation results show the proposed method can reduce the clutter spectrum dispersion significantly and outperform conventional local compensation methods.

An Elevation Cosine Derivation Based Updating STAP Method for Non-Sidelooking Uniform Linear Array

2014 ◽  
Vol 556-562 ◽  
pp. 3662-3665
Author(s):  
Xing Hui Chen ◽  
Shi Qiao Gao
Keyword(s):  
Linear Array ◽  
Airborne Radar ◽  
Uniform Linear Array ◽  
Array Antennas ◽  
Compensation Methods ◽  
Simulation Results ◽  
Independent Identically Distributed

The clutter distribution of airborne radar with non-sidelooking uniform linear array antennas varies with ranges and interference in different range gates are not independent identically distributed vectors, so the performance of statistical STAP methods degrade heavily. In this paper, the range dependency problem is studied and a clutter nonstationarity reducing method is proposed. This method involves in the pre-processing of elevation cosine based vector extending and subsequently statistical STAP technique. Simulation results show the proposed method can reduce the clutter dispersion significantly and outperform conventional compensation methods.

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