Detail View

A Novel DFT-Based DOA Estimation by a Virtual Array Extension Using Simple Multiplications for FMCW Radar
Citations

WEB OF SCIENCE

Citations

SCOPUS

Metadata Downloads

Title
A Novel DFT-Based DOA Estimation by a Virtual Array Extension Using Simple Multiplications for FMCW Radar
Issued Date
2018-05
Citation
Kim, Bong Seok. (2018-05). A Novel DFT-Based DOA Estimation by a Virtual Array Extension Using Simple Multiplications for FMCW Radar. Sensors, 18(5), 1560. doi: 10.3390/s18051560
Type
Article
Author Keywords
FMCWvirtual arrayDOA estimationDFT
Keywords
ESPRITMUSIC
ISSN
1424-8220
Abstract
We propose a novel discrete Fourier transform (DFT)-based direction of arrival (DOA) estimation by a virtual array extension using simple multiplications for frequency modulated continuous wave (FMCW) radar. DFT-based DOA estimation is usually employed in radar systems because it provides the advantage of low complexity for real-time signal processing. In order to enhance the resolution of DOA estimation or to decrease the missing detection probability, it is essential to have a considerable number of channel signals. However, due to constraints of space and cost, it is not easy to increase the number of channel signals. In order to address this issue, we increase the number of effective channel signals by generating virtual channel signals using simple multiplications of the given channel signals. The increase in channel signals allows the proposed scheme to detect DOA more accurately than the conventional scheme while using the same number of channel signals. Simulation results show that the proposed scheme achieves improved DOA estimation compared to the conventional DFT-based method. Furthermore, the effectiveness of the proposed scheme in a practical environment is verified through the experiment. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.
URI
http://hdl.handle.net/20.500.11750/6441
DOI
10.3390/s18051560
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Show Full Item Record

File Downloads

공유

qrcode
공유하기

Related Researcher

김상동
Kim, Sangdong김상동

Division of Mobility Technology

read more

Total Views & Downloads