Modern applications of synthetic aperture radar (SAR) demand both high spatial resolution and wide imaging swath. Unfortunately, traditional SAR imaging algorithms based on the Nyquist sampling theorem and the matched filtering can hardly achieve high-resolution and wide-swath simultaneously, since there is a trade-off between these two demands. Existing wide-swath SAR imaging systems usually adopt the flexible digital beamforming or waveform coding techniques with phased arrays, at the cost of increased system complexity. It is worth investigating how to achieve wider imaging swath of single-antenna SAR while keeping high resolution. If this solution is found, the imaging swath of the phased array SAR systems can be further increased.

Chapter Contents:

• 5.1 Introduction
• 5.2 Tradeoff between high-resolution and wide-swath in SAR imaging
• 5.3 Poisson disk sampling scheme
• 5.3.1 Sampling formulation
• 5.3.2 Comparison between Poisson disk sampling and jittered sampling
• 5.3.3 Comparison between Poisson disk sampling and random selection from uniform samples
• 5.4 SAR imaging algorithm with Poisson disk sampled data
• 5.4.1 Inverse CSA operator
• 5.4.2 The IST-like algorithm for SAR imaging
• 5.4.3 Analysis of computational complexity
• 5.5 Experimental results
• 5.5.1 Simulations
• 5.5.2 Experiment on RADARSAT-1 data
• 5.5.3 Experiment on GAOFEN-3 data
• 5.6 Conclusion
• References

Inspec keywords: synthetic aperture radar

Other keywords: hased array SAR systems; synthetic aperture radar; SAR imaging algorithms; digital beamforming; wide-swath SAR imaging systems; Nyquist sampling theorem

Subjects: Radar equipment, systems and applications