@article{M97D44514,
title = "Carrier Frequency Estimation of Low SNR Radar Signal Based on Denoising Autoencoder and DBSCAN",
journal = "The Journal of Korean Institute of Communications and Information Sciences",
year = "2024",
issn = "1226-4717",
doi = "10.7840/kics.2024.49.7.923",
author = "Jaehyeok Yoon, Jaeyeon Jung, Kyuhan Kim, Wonjin Yun, Jeehyeon Baek, Dongho Seo, Woojin Yun, Haewoon Nam",
keywords = "Low SNR Radar, Carrier Frequency, Denoising Autoencoder, DBSCAN",
abstract = "This paper proposes a Denoising Autoencoder (DAE) and a Density-Based Spatial Clustering of Applications with Noise (DBSCAN) based estimation algorithm using time-frequency analysis of low signal-to-noise ratio (SNR) radar as input to estimate the Carrier Frequency of low SNR radar signals. The performance of the proposed algorithm shows high estimation performance compared to the in-image Connected Component Analysis (CCA) algorithm."
}