Simulating Clutter Maps for Temporal CFAR Detection of Radar Signals
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Resource Overview
Clutter maps play a critical role in ground-based radar systems, particularly for detecting zero-velocity targets. This program simulates clutter maps and performs temporal CFAR (Constant False Alarm Rate) detection on radar signals to enable accurate detection of stationary targets through algorithmic processing.
Detailed Documentation
In ground-based radar systems, clutter maps hold significant importance for detecting stationary targets. This simulation generates clutter maps and performs temporal CFAR detection on radar signals to ensure accurate identification of zero-velocity targets. The implementation typically involves creating a clutter map using cell-averaging techniques across multiple scans, followed by applying CFAR thresholding algorithms that adapt to local clutter statistics. Key functions would include clutter map initialization, temporal filtering for background estimation, and CFAR threshold calculation using reference cells surrounding the test cell to maintain constant false alarm rates while maximizing detection probability.
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