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A Modified Subpulse SAR Processing Procedure Based on the Range-Doppler Algorithm for Synthetic Wideband Waveforms
Byoung-Gyun Lim1, Jea-Choon Woo2, Hee-Young Lee3
11-Division of Electrical and Computer Engineering, Pohang University of Science and Technology, Pohang, Gyungbuk, 790-784, South Korea. emyhand@postech.ac.kr.
Sensors (Basel, Switzerland)
|November 23, 2016
Summary
Synthetic wideband waveforms (SWW) improve radar resolution. A modified algorithm enhances Synthetic Aperture Radar (SAR) imaging for SWW, yielding better image quality and accuracy.
Area of Science:
- Radar Systems Engineering
- Signal Processing
- Electromagnetics
Background:
- Synthetic wideband waveforms (SWW) integrate stepped frequency continuous wave (SFCW) and chirp signals.
- SWW offer high range resolution without extensive bandwidth or high sampling rates.
- Standard algorithms like Range-Doppler Algorithm (RDA) introduce errors in SWW-based SAR imaging due to approximations.
Purpose of the Study:
- To propose a modified subpulse SAR processing algorithm for SWW.
- To address and mitigate errors in SAR image acquisition for SWW using RDA.
- To enhance the resolution and quality of SAR images generated from SWW.
Main Methods:
- Development of a modified subpulse SAR processing algorithm based on RDA.
- Application of the algorithm to Synthetic Aperture Radar (SAR) data.
- Experimental validation using an automobile-based SAR system.
Main Results:
- The proposed algorithm demonstrates high accuracy in processing SWW.
- Significant improvements in the resolution of the obtained SAR images were observed.
- Enhanced quality of SAR images was achieved compared to standard RDA.
Conclusions:
- The modified subpulse SAR processing algorithm effectively improves SWW-based SAR imaging.
- The algorithm provides a more accurate and higher-quality SAR image.
- This method offers a practical solution for enhancing radar imaging capabilities with SWW.
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