Radar Detection Processing Simulation
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Resource Overview
Detailed Documentation
A radar detection processing simulation program is designed to emulate the radar detection process. It features capabilities for target detection under noise backgrounds using techniques like matched filtering and constant false alarm rate (CFAR) processing. The program implements statistical models to detect fluctuating targets through Swerling models, while calculating key performance metrics including detection probability (Pd) and false alarm probability (Pfa) using Neyman-Pearson based detectors. Additionally, the simulation supports multiple analysis modules for target tracking with Kalman filters and signal processing operations like pulse compression and Doppler processing. Through this radar detection simulator, users can gain deeper insights into radar detection principles and performance characteristics, facilitating optimization and improvement of related algorithms through Monte Carlo simulations and parameter sweeping.
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