TY - JOUR
T1 - Extended multiple aperture mapdrift-based doppler parameter estimation and compensation for very-high-squint airborne SAR imaging
AU - Zhou, Zhichao
AU - Li, Yinghe
AU - Wang, Yan
AU - Li, Linghao
AU - Zeng, Tao
N1 - Publisher Copyright:
© 2019 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Doppler parameter estimation and compensation (DPEC) is an important technique for airborne SAR imaging due to the unpredictable disturbance of real aircraft trajectory. Traditional DPEC methods can be only applied for broadside, small-or medium-squint geometries, as they at most consider the spatial variance of the second-order Doppler phase. To implement the DPEC in very-high-squint geometries, we propose an extended multiple aperture mapdrift (EMAM) method in this paper for better accuracy. This advantage is achieved by further estimating and compensating the spatial variation of the third-order Doppler phase, i.e., the derivative of the Doppler rate. The main procedures of the EMAM, including the steps of sub-view image generation, sliding-window-based cross-correlation, and image-offset-based Doppler parameter estimation, are derived in detail, followed by the analyses for the EMAM performance. The presented approach is evaluated by both computer simulations and real airborne data.
AB - Doppler parameter estimation and compensation (DPEC) is an important technique for airborne SAR imaging due to the unpredictable disturbance of real aircraft trajectory. Traditional DPEC methods can be only applied for broadside, small-or medium-squint geometries, as they at most consider the spatial variance of the second-order Doppler phase. To implement the DPEC in very-high-squint geometries, we propose an extended multiple aperture mapdrift (EMAM) method in this paper for better accuracy. This advantage is achieved by further estimating and compensating the spatial variation of the third-order Doppler phase, i.e., the derivative of the Doppler rate. The main procedures of the EMAM, including the steps of sub-view image generation, sliding-window-based cross-correlation, and image-offset-based Doppler parameter estimation, are derived in detail, followed by the analyses for the EMAM performance. The presented approach is evaluated by both computer simulations and real airborne data.
KW - Doppler parameter estimation and compensation (DPEC)
KW - Extended multiple aperture mapdrift (EMAM)
KW - Spatial variance
KW - The derivative of the Doppler rate
KW - Very-high-squint airborne SAR imaging
UR - http://www.scopus.com/inward/record.url?scp=85059795446&partnerID=8YFLogxK
U2 - 10.3390/s19010213
DO - 10.3390/s19010213
M3 - Article
C2 - 30626144
AN - SCOPUS:85059795446
SN - 1424-8220
VL - 19
JO - Sensors
JF - Sensors
IS - 1
M1 - 213
ER -