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Bandpass Sampling

Bandpass Sampling

In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2. The spectrum...

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Bistatic synthetic aperture radar imaging using ultraNarrowband continuous waveforms.

Ling Wang, Birsen Yazici

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|April 7, 2012

Summary

We introduce Doppler Synthetic Aperture Radar (DSAR) for high-resolution imaging using continuous waveforms. This novel method utilizes Doppler signatures for arbitrary geometries, offering improved performance over traditional SAR.

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Area of Science:

Remote Sensing
Signal Processing
Electromagnetics

Background:

Synthetic Aperture Radar (SAR) traditionally uses wideband signals.
Ultra-narrowband continuous waveforms (CW) offer high Doppler resolution.
Bistatic SAR configurations present unique modeling and imaging challenges.

Purpose of the Study:

To develop a novel model and image formation method for bistatic Doppler Synthetic Aperture Radar (DSAR).
To enable high-resolution SAR imaging using continuous waveforms for arbitrary geometries.
To leverage Doppler signatures for enhanced imaging capabilities.

Main Methods:

Developed a bistatic DSAR model by correlating translated received signals with frequency-shifted transmitted CW signals.
Utilized high-frequency analysis to show correlated signals project onto bistatic iso-Doppler curves.
Employed microlocal techniques for a filtered-backprojection (FBP) image reconstruction method.

Main Results:

The FBP method backprojects correlated signals onto bistatic iso-Doppler curves, unlike traditional iso-range curves.
The DSAR method effectively utilizes antenna velocity and acceleration for high-resolution imaging.
Demonstrated applicability for arbitrary flight trajectories, nonflat topography, and system parameters.

Conclusions:

The proposed bistatic DSAR imaging method provides a novel approach for high-resolution SAR.
The technique is versatile, accommodating complex imaging scenarios and system variations.
Numerical experiments confirm the effectiveness and performance of the DSAR imaging method.