Carrier Frequency Estimation of Low SNR Radar Signal Based on Denoising Autoencoder and DBSCAN 


Vol. 49,  No. 7, pp. 923-926, Jul.  2024
10.7840/kics.2024.49.7.923


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  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.

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[IEEE Style]

J. Yoon, J. Jung, K. Kim, W. Yun, J. Baek, D. Seo, W. Yun, H. Nam, "Carrier Frequency Estimation of Low SNR Radar Signal Based on Denoising Autoencoder and DBSCAN," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 7, pp. 923-926, 2024. DOI: 10.7840/kics.2024.49.7.923.

[ACM Style]

Jaehyeok Yoon, Jaeyeon Jung, Kyuhan Kim, Wonjin Yun, Jeehyeon Baek, Dongho Seo, Woojin Yun, and Haewoon Nam. 2024. Carrier Frequency Estimation of Low SNR Radar Signal Based on Denoising Autoencoder and DBSCAN. The Journal of Korean Institute of Communications and Information Sciences, 49, 7, (2024), 923-926. DOI: 10.7840/kics.2024.49.7.923.

[KICS Style]

Jaehyeok Yoon, Jaeyeon Jung, Kyuhan Kim, Wonjin Yun, Jeehyeon Baek, Dongho Seo, Woojin Yun, Haewoon Nam, "Carrier Frequency Estimation of Low SNR Radar Signal Based on Denoising Autoencoder and DBSCAN," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 7, pp. 923-926, 7. 2024. (https://doi.org/10.7840/kics.2024.49.7.923)
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