Peak Detector

The Peak Detector is the final filtering stage that isolates dominant target signals from processed data via FFT, STFT, or Wavelet transforms.

It extracts target candidates (local maxima/sharpest peaks) exceeding the threshold, filtering out remaining noise, clutter, and reflections.

This function optimizes system efficiency by transferring only high-probability target candidates to subsequent tracking algorithms.

1. Principles and Detection Process

The filtering process evaluates the transferred signal data array against a threshold to isolate potential target clusters and eliminate residual background noise.

Within these screened data arrays, the detector identifies localized local maxima that exceed their immediate spectral or temporal neighbors.

These successfully validated peak points are ultimately extracted as final target coordinates and transferred to the next interface stage.