Detail View

Efficient Clutter Cancellation Algorithm Based on a Suppressed Clutter Map for FMCW Radar Systems
Citations

WEB OF SCIENCE

Citations

SCOPUS

Metadata Downloads

Title
Efficient Clutter Cancellation Algorithm Based on a Suppressed Clutter Map for FMCW Radar Systems
Issued Date
2023-09
Citation
Kim, Bong-seok. (2023-09). Efficient Clutter Cancellation Algorithm Based on a Suppressed Clutter Map for FMCW Radar Systems. Journal of Electromagnetic Engineering and Science, 23(5), 449–451. doi: 10.26866/jees.2023.5.l.16
Type
Article
Author Keywords
Clutter SuppressionMTIRD MapRCSRadar
ISSN
2671-7255
Abstract
This paper proposes an efficient clutter cancellation algorithm based on suppressed clutter map for frequency-modulated continuous wave radar systems. In conventional clutter cancellation algorithms based on clutter maps, range-Doppler maps are employed. However, if the radar cross section (RCS) of the targets is significantly lower than the RCS of the clutter, a problem may occur in that the targets may also be removed in the clutter-removal process. To solve this problem, the proposed algorithm creates a range-Doppler map to which the moving target indicator (MTI) algorithm is applied instead of the general range-Doppler map that does not include the MTI algorithm. The range-Doppler map, used after applying the clutter suppression filter, significantly reduces the clutter removal effect on targets in which RCS is relatively weak by suppressing the effect of relatively dominant clutter signals. The experimental results showed that the proposed algorithm detects weak targets that remain undetected by the existing map-based clutter-removal algorithm. © Copyright The Korean Institute of Electromagnetic Engineering and Science
URI
http://hdl.handle.net/20.500.11750/46680
DOI
10.26866/jees.2023.5.l.16
Publisher
Korean Institute of Electromagnetic Engineering and Science
Show Full Item Record

File Downloads

공유

qrcode
공유하기

Related Researcher

현유진
Hyun, Eugin현유진

Division of Mobility Technology

read more

Total Views & Downloads