A KNN-Based Radar Detector for Coherent Targets in Non-Gaussian Noise

This paper proposes a decision scheme based on the
$k$
-nearest neighbors rule to detect coherent signals in non-Gaussian noise modeled as the sum of K-distributed clutter plus thermal noise. The analysis is conducted also on real data recordings and shows that the proposed detector can outperform natural competitors.