wK Algorithm for Point Target Simulation in SAR Imaging

This is a wK algorithm implementation for point target simulation in Synthetic Aperture Radar (SAR) imaging. The program is strictly coded according to the wK algorithm presented in Ian G. Cumming's "Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation." For students studying the wK algorithm, this simulation serves as an introductory-level program that demonstrates core processing steps including range compression, azimuth processing, and Stolt interpolation.

In this simulation program, the wK algorithm is utilized as a key method for SAR imaging. The implementation follows the detailed wK algorithm methodology from Ian G. Cumming's seminal work. For students learning the wK algorithm, this simulation provides an essential foundational tool. Through using this program, students can deepen their understanding of the wK algorithm and gain practical experience in applying the algorithm through hands-on simulation. The code structure mirrors the actual signal processing chain, showing how raw radar data transforms into focused imagery.

The simulation program is meticulously coded, strictly adhering to the detailed steps of the wK algorithm as described in Ian G. Cumming's work. By running this simulation, students can observe how point targets behave in SAR imaging scenarios, thereby gaining deeper insights into the principles and applications of the wK algorithm. The implementation includes key functions for frequency domain processing and phase compensation, making it a valuable learning resource for students interested in SAR imaging and the wK algorithm specifically.