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Sub-Nyquist SAR Based on Pseudo-Random Time-Space Modulation.

Wenjiao Chen¹, Chunsheng Li², Ze Yu³

¹School of Electronics and Information Engineering, Beihang University, Beijing 100083, China. chenwenjiao008@163.com.

Sensors (Basel, Switzerland)

|December 15, 2018

Summary

This summary is machine-generated.

Sub-Nyquist sampling in synthetic aperture radar (SAR) systems can now reconstruct complex scenes with high sparsity. Pseudo-random space-time modulation enhances mutual information, overcoming previous limitations for wider SAR applications.

Keywords:

channel capacity noisy-channel coding theorem pseudo-random space-time modulation spaceborne synthetic aperture radar (SAR)sparsity sub-Nyquist

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Area of Science:

Remote Sensing
Signal Processing
Information Theory

Background:

Sub-Nyquist sampling in Synthetic Aperture Radar (SAR) offers a solution to the high-resolution wide-swath dilemma.
Current sub-Nyquist SAR methods are limited to reconstructing scenes with low sparsity.
Information theory provides a framework to understand the limitations of existing sub-Nyquist SAR systems.

Purpose of the Study:

To overcome the sparsity constraint in sub-Nyquist SAR.
To enable the reconstruction of complex scenes with high sparsity.
To broaden the applicability of sub-Nyquist SAR technology.

Main Methods:

Development of an information channel model for microwave imaging radar.
Application of noisy-channel coding theorem to explain reconstruction limitations.
Introduction of pseudo-random space-time modulation for SAR data.

Main Results:

Pseudo-random space-time modulation increases mutual information between the scene and echo.
Successful reconstruction of scenes with large sparsity, including oceanic and urban environments.
Validation of the proposed method through simulations.

Conclusions:

The proposed sub-Nyquist SAR based on pseudo-random space-time modulation effectively reconstructs scenes with high sparsity.
This advancement significantly expands the potential applications of sub-Nyquist SAR.
The method addresses a key limitation in current sub-Nyquist SAR technology.