Synthetic Aperture Radar (SAR) Echo Data for Artificial Targets with MATLAB Implementation
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Resource Overview
MATLAB-based SAR echo data simulation for artificial targets developed through semester-long research, utilizing optical imaging methodology. This resource provides valuable reference material for researchers lacking measured data, featuring comprehensive algorithm explanations and key function implementations.
Detailed Documentation
This MATLAB-based SAR echo data simulation for artificial targets represents my semester-long research achievement. The study employs optical imaging methodology to generate synthetic SAR data, providing substantial assistance for researchers without access to measured datasets. During development, I conducted in-depth investigation into SAR echo generation principles and processing techniques, performing multiple experimental validations to ensure data accuracy and reliability.
The implementation includes key MATLAB functions for signal processing and image formation algorithms, such as range-Doppler processing and phase history data simulation. Through this dataset, users can observe characteristic manifestations of artificial targets in SAR echo data and understand optical imaging applications in data processing workflows. The code structure demonstrates efficient memory handling for large datasets and includes parameter optimization modules for different target scenarios.
This resource serves as both educational reference and research foundation, enabling further exploration into SAR echo data analysis domains. The package contains documented MATLAB scripts with adjustable parameters for various target configurations and imaging conditions. I hope this comprehensive simulation package proves beneficial for your academic studies and research investigations in radar signal processing.
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- 1 Credits