SAR Signal Processing Simulation

This project simulates a simplified Synthetic Aperture Radar (SAR)-like signal acquisition scenario and applies advanced signal processing techniques such as wavelet-based and Kalman filtering to enhance signal quality. The goal is to demonstrate algorithm development and performance analysis in the context of SAR or radar-inspired signal processing.

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🛰️ Project Overview

• Simulates radar-like echo signals with multiple targets and added Gaussian noise.
• Applies both wavelet and Kalman filtering to improve signal quality.
• Computes and visualizes Signal-to-Noise Ratio (SNR), Mean Squared Error (MSE), and PSNR.

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📂 Repository Structure

sar-signal-processing-simulation/ ├── simulate_sar_signal.m % Simulate SAR-like echo signal ├── filter_and_process_signal.m % Wavelet denoising ├── kalman_filter_denoising.m % Kalman filter implementation ├── analyze_results.m % Compute & visualize SNR, MSE, PSNR ├── results/ % Saved .mat files and plots ├── README.md % Project documentation └── .gitignore % Ignore .mat, checkpoints, etc.

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🛠️ Technologies Used

• MATLAB R2023b
• Signal Processing Toolbox
• Wavelet Toolbox

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📈 Example Outputs

SNR Comparison

After applying denoising techniques:

• Original noisy signal had an SNR of approximately 0 dB
• Wavelet denoising improved the SNR to approximately 9–11 dB
• Kalman filtering achieved an SNR improvement to around 7–9 dB

(Values vary slightly depending on noise parameters used during simulation)

The visual output confirms the effectiveness of both techniques in enhancing signal clarity, with wavelet transform offering slightly better performance for static multi-target scenarios.

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🔍 How to Run

1. Clone the repository
   git clone https://github.com/Arman-Rajaei/sar-signal-processing-simulation.git

2. Open the project in MATLAB.

3. Run the scripts in order:

   • simulate_sar_signal.m
   • filter_and_process_signal.m
   • kalman_filter_denoising.m
   • analyze_results.m

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📌 Purpose

This project demonstrates practical signal processing techniques relevant to radar systems, remote sensing, and satellite imaging — particularly in alignment with roles involving Synthetic Aperture Radar (SAR) signal analysis, modeling, and algorithm development.

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🧑‍💻 Author

Arman Rajaei