Hey Miguel,
I understand that you want to perform azimuth compression on a passive SAR simulator.
Performing azimuth compression in a passive synthetic aperture radar (SAR) simulator involves several steps. Here's a high-level overview of the process:
1. Data collection: Simulate the data collection process by modeling the radar system and its interaction with the scene of interest. This includes specifying the parameters such as the radar platform motion, antenna characteristics, and signal processing techniques.
2. Range compression: Apply range compression to the collected data. Range compression focuses the received radar signals along the range dimension to improve range resolution. This is typically done using matched filtering or other range compression techniques.
3. Doppler processing: Perform Doppler processing to account for the motion-induced Doppler shifts in the received signals. This involves compensating for the Doppler frequency shifts caused by the relative motion between the radar platform and the scene.
4. Azimuth compression: Apply azimuth compression to focus the SAR data along the azimuth dimension. Azimuth compression is typically achieved using a two-step process: azimuth matched filtering and azimuth integration.
a. Azimuth matched filtering: Apply matched filtering in the azimuth direction to enhance the signal-to-noise ratio and improve azimuth resolution. This involves correlating the received signals with the reference signal in the azimuth dimension.
b. Azimuth integration: Integrate the azimuth matched filtered data over multiple azimuth positions to form a focused SAR image. This step involves summing or integrating the azimuth matched filtered signals to enhance the signal energy and suppress noise.
5. Post-processing: Apply any necessary post-processing techniques to improve the quality of the SAR image. This may include filtering, speckle reduction, and radiometric calibration.
You may refer to the following link for further information:
Thanks,
Best Regards
Aditya Kaloji
