Localization based on distributed heterogeneous radar sensor network. (30th November 2022)

• Record Type: Journal Article
• Authors: Jung, Jaehoon; Lim, Sohee; Lee, Eunji; Heo, Min-Oh; Kim, Seong-Cheol
• Is Part Of: Measurement. Volume 204(2023)
• Publication Date: 2022-11-30
• Subjects: Distributed radar -- Frequency-modulated continuous-wave (FMCW) radar -- Heterogeneous radar sensor network -- Localization -- Ultra-wideband (UWB) radar; Weights and measures -- Periodicals; Measurement -- Periodicals; Measurement; Weights and measures; Periodicals; 530.8
• DOI: 10.1016/j.measurement.2022.112042
• Languages: English
• ISSNs: 0263-2241

Abstract

Abstract: 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. Highlights: Localization framework using joint UWB and FMCW radar data Range and angle measurements of heterogeneous radar sensor network are used Clutter removal, clustering, and weight assignment based on the type of radar Performance evaluation in an open space and a clutter-rich environment