Focusing Bistatic Forward-looking Synthetic Aperture Radar Based on An Improved Hyperbolic Range Model and A Modified...

Area of Science:

• Remote Sensing
• Signal Processing
• Radar Imaging

Background:

• Parallel bistatic forward-looking synthetic aperture radar (SAR) imaging presents challenges due to complex double-square-root slant range expressions.
• Existing hyperbolic approximations simplify this but neglect high-order terms, leading to inaccurate phase compensation.

Purpose of the Study:

• To develop an improved hyperbolic approximation for slant range in parallel bistatic SAR imaging.
• To enhance phase compensation accuracy by incorporating high-order terms.

Main Methods:

• A novel hyperbolic approximation incorporating high-order range Taylor expansion terms was derived.
• A modified omega-K algorithm was developed utilizing the new slant range formulation.
• The algorithm was applied to parallel bistatic forward-looking SAR imaging scenarios.

Main Results:

• The proposed method accurately compensates for phase errors by considering higher-order slant range terms.
• Simulations demonstrated the effectiveness of the improved hyperbolic approximation and modified omega-K algorithm.
• Enhanced imaging quality was achieved in parallel bistatic forward-looking SAR.

Conclusions:

• The improved hyperbolic approximation offers a more precise slant range model for SAR imaging.
• The modified omega-K algorithm effectively addresses phase inaccuracies in bistatic SAR.
• This research advances the accuracy of parallel bistatic forward-looking SAR imaging techniques.