CFAR (Constant False Alarm Rate)

The CFAR is an adaptive detection that dynamically adjusts the detection threshold according to the surrounding noise.

It continuously estimates background noise from data arrays such as a spectrum, spectrogram, or scalogram

to maintain a stable false alarm rate and suppress unwanted detections caused by clutter or noise.

1. Principles and Detection Process

The detection process first measures the background noise within a localized reference window to establish a baseline.

Based on this real-time noise estimation, the processor dynamically scales a threshold across the entire signal matrix.

Target candidates are identified when signal magnitudes exceed the adaptive threshold