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Clutter Suppression for Indoor Self-Localization Systems by Iteratively Reweighted Low-Rank Plus Sparse Recovery

Sánchez-Pastor, Jesús ; Miriya Thanthrige, Udaya S. K. P. ; Ilgac, Furkan ; Jiménez-Sáez, Alejandro ; Jung, Peter ; Sezgin, Aydin ; Jakoby, Rolf (2022):
Clutter Suppression for Indoor Self-Localization Systems by Iteratively Reweighted Low-Rank Plus Sparse Recovery. (Publisher's Version)
In: Sensors, 21 (20), MDPI, e-ISSN 1424-8220,
DOI: 10.26083/tuprints-00019970,
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Item Type: Article
Origin: Secondary publication DeepGreen
Status: Publisher's Version
Title: Clutter Suppression for Indoor Self-Localization Systems by Iteratively Reweighted Low-Rank Plus Sparse Recovery
Language: English
Abstract:

Self-localization based on passive RFID-based has many potential applications. One of the main challenges it faces is the suppression of the reflected signals from unwanted objects (i.e., clutter). Typically, the clutter echoes are much stronger than the backscattered signals of the passive tag landmarks used in such scenarios. Therefore, successful tag detection can be very challenging. We consider two types of tags, namely low-Q and high-Q tags. The high-Q tag features a sparse frequency response, whereas the low-Q tag presents a broad frequency response. Further, the clutter usually showcases a short-lived response. In this work, we propose an iterative algorithm based on a low-rank plus sparse recovery approach (RPCA) to mitigate clutter and retrieve the landmark response. In addition to that, we compare the proposed approach with the well-known time-gating technique. It turns out that RPCA outperforms significantly time-gating for low-Q tags, achieving clutter suppression and tag identification when clutter encroaches on the time-gating window span, whereas it also increases the backscattered power at resonance by approximately 12 dB at 80 cm for high-Q tags. Altogether, RPCA seems a promising approach to improve the identification of passive indoor self-localization tag landmarks.

Journal or Publication Title: Sensors
Volume of the journal: 21
Issue Number: 20
Place of Publication: Darmstadt
Publisher: MDPI
Collation: 20 Seiten
Uncontrolled Keywords: chipless radio-frequency localization (RFID), indoor self-localization, clutter separation, low-rank, rpca, weighted norm
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
Divisions: 18 Department of Electrical Engineering and Information Technology > Institute for Microwave Engineering and Photonics (IMP)
Date Deposited: 02 May 2022 11:27
Last Modified: 06 Oct 2022 11:23
DOI: 10.26083/tuprints-00019970
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-199708
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/19970
PPN: 499847253
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