logo
CanyamAI summaries for academic research
language
MobileMobile
  • Phone FeatureWeChat Mini Program
EnglishEnglish
noticeNotice
BlogBlog
delete
arrow
Return

Localization based on distributed heterogeneous radar sensor network

delete2022-11-01
delete4
PRE
AI
J
Jaehoon Jung
S
Sohee Lim
E
Eunji Lee
M
Min-Oh Heo
S
Seong-Cheol Kim *
DOI：10.1016/j.measurement.2022.112042delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
In this paper, we present a novel localization framework which combines the detection results of multiple radars in a distributed heterogeneous radar sensor network. The radar sensor network consists of multiple ultra-wideband (UWB) and frequency-modulated continuous-wave (FMCW) radars, distributed across the region of detection. The UWB radar is used because of its excellent time resolution, which leads to the estimation of distance at a fine resolution. On the other hand, the FMCW radar is used because it can provide velocity and angle measurements in clutter-rich environment. The angle measurement is incorporated into the conventional range-based trilateration algorithm to improve the localization accuracy. In addition, because each radar has a different measurement capability, different weights are assigned to each measurement when deriving the least -squares solution. The performance of the proposed method is demonstrated using experimental data measured in an open space and a clutter-rich environment. The localization results showed that the fusion of UWB and FMCW radar data leads to enhanced localization performance.
Keywords:
Distributed radar
Frequency-modulated continuous-wave
(FMCW) radar
Heterogeneous radar sensor network
Localization
Ultra-wideband (UWB) radar

Journal

Measurement cover
Measurement
IF:
5.6
Papers:
2.0W
Citations:
5.4W

Organization

No organization information available