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Denoising Autoencoder와 DBSCAN 기반의 미약 레이더 신호의 반송파 주파수 추정Carrier Frequency Estimation of Low SNR Radar Signal Based on Denoising Autoencoder and DBSCAN
- Other Titles
- Carrier Frequency Estimation of Low SNR Radar Signal Based on Denoising Autoencoder and DBSCAN
- Issue Date
- Jul-2024
- Publisher
- 한국통신학회
- Keywords
- 미약 레이더; 반송파 주파수; Denoising Autoencoder; DBSCAN; Low SNR Radar; Carrier Frequency; Denoising Autoencoder; DBSCAN
- Citation
- 한국통신학회논문지, v.49, no.7, pp 923 - 926
- Pages
- 4
- Indexed
- SCOPUS
KCI
- Journal Title
- 한국통신학회논문지
- Volume
- 49
- Number
- 7
- Start Page
- 923
- End Page
- 926
- ISSN
- 1226-4717
2287-3880
- Abstract
- 본 논문에서는 낮은 신호 대 잡음 비(Signalto- Noise Ratio, SNR) 환경에서도 미약 레이더 신호의 반송파 주파수를 추정하기 위해 레이더의 시간-주파수 분석을 입력으로 하는 Denoising Autoencoder (DAE)와 Density-Based Spatial Cluster- ing of Applications with Noise (DBSCAN) 기반의 추정 알고리즘을 제안한다. 제안하는 알고리즘의 성능은 이미지 내 연결 성분 분석(Connected Component Analysis, CCA) 알고리즘에 비해 높은 추정 성능을 보였다.
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. © 2024, Korean Institute of Communications and Information Sciences. All rights reserved.
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Related Researcher
- Nam, Hae woon
- ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)