Airborne synthetic aperture acoustic imaging.

Area of Science:

• Acoustics
• Signal Processing
• Imaging Systems

Background:

• Traditional synthetic aperture radar (SAR) imaging models assume low vehicle speeds relative to wave propagation.
• Near-range imaging applications present unique challenges due to high relative speeds.
• Accurate system modeling is crucial for effective inversion and image reconstruction.

Purpose of the Study:

• To develop a novel system model and inversion technique for airborne synthetic aperture acoustic (SAA) imaging.
• To accurately represent acoustic interactions at near ranges with high relative speeds.
• To improve imaging accuracy compared to existing SAR methods.

Main Methods:

• Developed a system model accounting for vehicle speeds comparable to acoustic wave propagation.
• Utilized spectral decomposition of spherical phase functions for wavefront reconstruction.
• Investigated processing challenges and acoustic FM-CW source selection.

Main Results:

• The proposed SAA system model demonstrates superior accuracy over SAR counterparts.
• The wavefront reconstruction method effectively processes SAA data.
• The model's validity is shown for scenarios with high relative speeds.

Conclusions:

• The developed SAA system model and inversion provide a more accurate approach for near-range acoustic imaging.
• This method overcomes limitations of traditional SAR models in high-speed scenarios.
• The findings have implications for advanced acoustic imaging applications.