Probability of detection of ultra wideband (UWB) multi-input multi-output (MIMO) radar considering radar cross section (RCS) characteristics of vehicular target. / Fadilla ' Atyka Nor Rashid

Nowadays, ultra wideband (UVVB) signals has become a solution to the most important problems in observing radar target due to various advantages brought by its frequency diversity. UWB permits better data to be acquired due to frequency dependence and the high'Ttime resolution of the scattering...

Full description

Saved in:
Bibliographic Details
Main Author: Nor Rashid, Fadilla ' Atyka
Format: Article
Language:English
Online Access:https://ir.uitm.edu.my/id/eprint/44411/2/44411.PDF
https://ir.uitm.edu.my/id/eprint/44411/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.44411
record_format eprints
spelling my.uitm.ir.444112023-10-02T03:37:51Z https://ir.uitm.edu.my/id/eprint/44411/ Probability of detection of ultra wideband (UWB) multi-input multi-output (MIMO) radar considering radar cross section (RCS) characteristics of vehicular target. / Fadilla ' Atyka Nor Rashid Nor Rashid, Fadilla ' Atyka Nowadays, ultra wideband (UVVB) signals has become a solution to the most important problems in observing radar target due to various advantages brought by its frequency diversity. UWB permits better data to be acquired due to frequency dependence and the high'Ttime resolution of the scattering centers over the extremely'wide bandwidth. On the other hand, multi-input multi-output (MIMO) antenna systems have been developed in recent years to improve target detection and localization. MIMO capitalizes on the independence between signals from different transmitters and on the diversity of target scattering to improve the information received from the response. Motivated by the benefits of MIMO and advantages of using UWB signals, this paper presents the probability of detection by using UWB MIMO radar while considering radar cross section (RCS) characteristics of vehicular target. A new RCS model will be developed for wideband signal based on actual measurement data. Then, distribution fitting will be carried out to select the best fit to the wideband RCS data. Next, this study will study the detection performance of UWB MIMO radar integrated with the measurement-based RCS model; through numerical simulation of the radar performance. Simulation results indicated that the detection performance was better in terms of signal-to-noise ratio (SNR) when using full band UWB signal in MIMO radars. Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/44411/2/44411.PDF Probability of detection of ultra wideband (UWB) multi-input multi-output (MIMO) radar considering radar cross section (RCS) characteristics of vehicular target. / Fadilla ' Atyka Nor Rashid. pp. 1-7.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description Nowadays, ultra wideband (UVVB) signals has become a solution to the most important problems in observing radar target due to various advantages brought by its frequency diversity. UWB permits better data to be acquired due to frequency dependence and the high'Ttime resolution of the scattering centers over the extremely'wide bandwidth. On the other hand, multi-input multi-output (MIMO) antenna systems have been developed in recent years to improve target detection and localization. MIMO capitalizes on the independence between signals from different transmitters and on the diversity of target scattering to improve the information received from the response. Motivated by the benefits of MIMO and advantages of using UWB signals, this paper presents the probability of detection by using UWB MIMO radar while considering radar cross section (RCS) characteristics of vehicular target. A new RCS model will be developed for wideband signal based on actual measurement data. Then, distribution fitting will be carried out to select the best fit to the wideband RCS data. Next, this study will study the detection performance of UWB MIMO radar integrated with the measurement-based RCS model; through numerical simulation of the radar performance. Simulation results indicated that the detection performance was better in terms of signal-to-noise ratio (SNR) when using full band UWB signal in MIMO radars.
format Article
author Nor Rashid, Fadilla ' Atyka
spellingShingle Nor Rashid, Fadilla ' Atyka
Probability of detection of ultra wideband (UWB) multi-input multi-output (MIMO) radar considering radar cross section (RCS) characteristics of vehicular target. / Fadilla ' Atyka Nor Rashid
author_facet Nor Rashid, Fadilla ' Atyka
author_sort Nor Rashid, Fadilla ' Atyka
title Probability of detection of ultra wideband (UWB) multi-input multi-output (MIMO) radar considering radar cross section (RCS) characteristics of vehicular target. / Fadilla ' Atyka Nor Rashid
title_short Probability of detection of ultra wideband (UWB) multi-input multi-output (MIMO) radar considering radar cross section (RCS) characteristics of vehicular target. / Fadilla ' Atyka Nor Rashid
title_full Probability of detection of ultra wideband (UWB) multi-input multi-output (MIMO) radar considering radar cross section (RCS) characteristics of vehicular target. / Fadilla ' Atyka Nor Rashid
title_fullStr Probability of detection of ultra wideband (UWB) multi-input multi-output (MIMO) radar considering radar cross section (RCS) characteristics of vehicular target. / Fadilla ' Atyka Nor Rashid
title_full_unstemmed Probability of detection of ultra wideband (UWB) multi-input multi-output (MIMO) radar considering radar cross section (RCS) characteristics of vehicular target. / Fadilla ' Atyka Nor Rashid
title_sort probability of detection of ultra wideband (uwb) multi-input multi-output (mimo) radar considering radar cross section (rcs) characteristics of vehicular target. / fadilla ' atyka nor rashid
url https://ir.uitm.edu.my/id/eprint/44411/2/44411.PDF
https://ir.uitm.edu.my/id/eprint/44411/
_version_ 1779442751302008832
score 13.209306