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Spatial-Variant SAR Range Cell Migration Correction Using Subaperture Strategy.

Liping Hu¹, Guanyong Wang², Lin Hou³

¹Science and Technology on Electromagnetic Scattering Laboratory, Beijing Institute of Environmental Features, Beijing 100854, China.

Sensors (Basel, Switzerland)

|April 30, 2021

Summary

This summary is machine-generated.

This study introduces a new method for correcting range cell migration in highly squinted synthetic aperture radar (SAR) data. The approach effectively handles spatial-variant errors, improving SAR image focusing.

Keywords:

highly squinted range cell migration correction (RCMC)subaperture synthetic aperture radar (SAR)

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Area of Science:

Remote Sensing
Signal Processing
Electromagnetics

Background:

Synthetic Aperture Radar (SAR) imaging faces challenges with highly squinted data due to range-azimuth coupling.
Existing Range Walk Correction (RWC) methods do not fully address residual, spatially variant Range Cell Migration (RCM).

Purpose of the Study:

To propose and validate a precise spatial-variant Range Cell Migration Correction (RCMC) method for highly squinted SAR data.
To improve the focusing of SAR images by accurately compensating for complex RCM effects.

Main Methods:

A two-stage RCMC approach is presented, starting with coarse correction of the dominant range-variant RCM.
Azimuth subaperture (SA) processing is employed in the second stage, utilizing a modified Spectrum Analysis (SPECAN) algorithm.
An SA-image-domain RCMC is developed using interp correction, linking Doppler frequency to residual RCM.

Main Results:

The proposed method precisely compensates for space-variant RCM, crucial for highly squinted SAR data.
Simulated and real measured data experiments demonstrate the effectiveness of the subaperture processing approach.
The algorithm shows improved practicality for real-time SAR processing systems.

Conclusions:

The developed subaperture-based RCMC method effectively overcomes the limitations of traditional RWC and RCMC techniques for highly squinted SAR.
This approach enhances SAR image quality and is suitable for real-time applications.