TY - GEN
T1 - An improved frequency domain focusing method in GEO SAR
AU - Hu, Cheng
AU - Liu, Zhipeng
AU - Long, Teng
PY - 2012
Y1 - 2012
N2 - Geosynchronous orbit (GEO) synthetic aperture radar (SAR) has a lot of advantages due to its fine temporal resolution, but its imaging is much more difficult than low Earth orbit (LEO) SAR imaging. Via the analysis of GEO SAR's characteristics, the long synthetic aperture time (SAT) will cause large range migration and even more result in the failure of the line trajectory model; meanwhile the large propagation range will result in the failure of "Stop-and-Go" assumption, therefore the imaging algorithm in LEO SAR will lose effect in GEO SAR. Based on the above situation, the paper deduces the accurate range model using Norm method. The new range model can overcome the collapse of the line trajectory model, and considers the impact of the "Stop-and-Go" assumption. In sequence, an accurate imaging algorithm is deduced and proposed. The accurate imaging algorithm can overcome the impact of the "Stop-and-GO" assumption and obtain the space-variant two-dimensional reference function analytically, which can implement the large scene focusing under long SAT. The simulation results validate the correctness of range model and imaging algorithm.
AB - Geosynchronous orbit (GEO) synthetic aperture radar (SAR) has a lot of advantages due to its fine temporal resolution, but its imaging is much more difficult than low Earth orbit (LEO) SAR imaging. Via the analysis of GEO SAR's characteristics, the long synthetic aperture time (SAT) will cause large range migration and even more result in the failure of the line trajectory model; meanwhile the large propagation range will result in the failure of "Stop-and-Go" assumption, therefore the imaging algorithm in LEO SAR will lose effect in GEO SAR. Based on the above situation, the paper deduces the accurate range model using Norm method. The new range model can overcome the collapse of the line trajectory model, and considers the impact of the "Stop-and-Go" assumption. In sequence, an accurate imaging algorithm is deduced and proposed. The accurate imaging algorithm can overcome the impact of the "Stop-and-GO" assumption and obtain the space-variant two-dimensional reference function analytically, which can implement the large scene focusing under long SAT. The simulation results validate the correctness of range model and imaging algorithm.
KW - "Stop-and-GO" assumption
KW - GEO SAR
KW - Line trajectory model
UR - https://www.scopus.com/pages/publications/84877724712
U2 - 10.1049/cp.2012.1625
DO - 10.1049/cp.2012.1625
M3 - Conference contribution
AN - SCOPUS:84877724712
SN - 9781849196765
T3 - IET Conference Publications
BT - IET International Conference on Radar Systems, Radar 2012
T2 - IET International Conference on Radar Systems, Radar 2012
Y2 - 22 October 2012 through 25 October 2012
ER -