Modulation Recognition of Low-SNR UAV Radar Signals Based on Bispectral Slices and GA-BP Neural Network

In this paper, we address the challenge of low recognition rates in existing methods for radar signals from unmanned aerial vehicles (UAV) with low signal-to-noise ratios (SNRs). To overcome this challenge, we propose the utilization of the bispectral slice approach for accurate recognition of compl...

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Detalhes bibliográficos

Principais autores:	Xuemin Liu, Yaoliang Song, Kuiyu Chen, Shihao Yan, Si Chen, Baihua Shi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-07-01
coleção:	Drones
Assuntos:	UAV radar signals low signal-to-noise ratios bispectral slice convexity box dimension sparseness
Acesso em linha:	https://www.mdpi.com/2504-446X/7/7/472
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