A tool for bistatic SAR geometry determinations

Hawkins, Richard A.; Gibson, J.R.; Saper, R.; Hilaire, M.

doi:10.1016/s0273-1177(03)90559-x

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Spaceborne/airborne bistatic synthetic aperture radar (SA-BiSAR), a promising BiSAR configuration consisting of a satellite illuminator and an airborne receiver, can hopefully combine the advantages of the two different platforms to increase safety, flexibility and reliability using far-transmitting and near-receiving strategy [1][2][3][4]. Characterised by this feature, SA-BiSAR not only can be used in military applications such as passive unmanned aerial vehicle (UAV) reconnaissance in conflict areas [5], but also can be used in civil applications such as aircraft safely landing in poor visibility conditions [6].…”

Section: Introductionmentioning

confidence: 99%

Range‐resolution improvement for spaceborne/airborne bistatic synthetic aperture radar using stepped‐frequency chirp trains

Wang

Yuan

et al. 2015

IET signal process.

View full text Add to dashboard Cite

In this paper, a stepped-frequency spaceborne/airborne bistatic synthetic aperture radar (SFSA-BiSAR) configuration is proposed to show to improve the range resolution of BiSAR. First, the geometry and the signal model of SFSA-BiSAR are formulated, and then an analytical bistatic point target reference spectrum (BPTRS) is derived. Second, based on the developed BPTRS, two imaging algorithms called combination-before-focusing algorithm (CBFA) and combination-after-focusing algorithm (CAFA) are proposed to obtain BiSAR images with improved range resolution. CBFA uses sub-band combination to obtain synthetic BPTRS, and then uses a new bistatic frequencydomain algorithm (BFDA) to obtain the improved BiSAR image, whereas CAFA first uses the BFDA to focus all the subpulses, and then uses sub-image combination to obtain the improved BiSAR image. Both of the two algorithms can focus the SFSA-BiSAR signal well and comparison simulations are performed to verify the authors' conclusion. Computation loads are also calculated to compare the two algorithms and show that CAFA uses less floating-point operations than CBFA. Besides, some important parameters of SFSA-BiSAR are analysed both theoretically and numerically to provide a reference for system design.

show abstract