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
A KNN-based Radar Detector for Coherent Targets in non-Gaussian Noise / Coluccia, Angelo; Fascista, Alessio; Ricci, Giuseppe. - In: IEEE SIGNAL PROCESSING LETTERS. - ISSN 1070-9908. - STAMPA. - 28:(2021), pp. 778-782. [10.1109/LSP.2021.3071972]
A KNN-based Radar Detector for Coherent Targets in non-Gaussian Noise
Fascista Alessio
;
2021-01-01
Abstract
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 competitorsFile in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
