2D Phase-based RFID localization for on-site landslide monitoring

Abstract

<p><span>Radio-Frequency Identification (RFID) shows great potential for earth-</span><br><span>sciences applications, notably in landslide surface monitoring at high spatio-</span><br><span>temporal</span> <span>resolution</span> <span>[1]</span> <span>with</span> <span>meteorological</span> <span>robustness</span> <span>[2].</span> <span>Ten</span> <span>865MHz</span><br><span>RFID</span> <span>tags</span> <span>were</span> <span>deployed</span> <span>on</span> <span>part</span> <span>of</span> <span>a</span> <span>landslide</span> <span>and</span> <span>continuously</span> <span>moni-</span><br><span>tored for 8 months by a station composed of 4 reader antennas.</span> <span>2D rela-</span><br><span>tive localization was performed using a Phase-of-Arrival approach [3], and</span><br><span>compared with optical reference measurements.</span> <span>The centimeter-scale ac-</span><br><span>curacy of this technique was confirmed theoretically by developing a mea-</span><br><span>surement model that includes multipath interference and system sensitiv-</span><br><span>ity kernel.</span> <span>Although horizontal localization shows promising results, ver-</span><br><span>tical displacement monitoring presents intrinsic error sources that greatly</span><br><span>decrease accuracy in this direction.</span> <span>This study confirms that 2D landslide</span><br><span>displacement tracking is feasible at relatively low station and maintenance</span><br><span>cost (Charlety</span> <span>et</span> <span>al.</span><span>,2021, submitted).</span></p><p><br><span>References</span></p><p><br><span>[1]</span> <span>M. Le Breton, L. Baillet, E. Larose, E. Rey, P. Benech, D. Jongmans, F. Guy-</span><br><span>oton, and M. Jaboyedoff, “Passive radio-frequency identification ranging, a</span><br><span>dense and weather-robust technique for landslide displacement monitoring,”</span><br><span>Engineering</span> <span>geology</span><span>, vol. 250, pp. 1–10, 2019.</span><br><span>[2]</span> <span>M.</span> <span>Le</span> <span>Breton,</span> <span>L.</span> <span>Baillet,</span> <span>E.</span> <span>Larose,</span> <span>E.</span> <span>Rey,</span> <span>P.</span> <span>Benech,</span> <span>D.</span> <span>Jongmans,</span> <span>and</span><br><span>F.</span> <span>Guyoton,</span> <span>“Outdoor</span> <span>uhf</span> <span>rfid:</span> <span>Phase</span> <span>stabilization</span> <span>for</span> <span>real-world</span> <span>appli-</span><br><span>cations,”</span> <span>IEEE</span> <span>Journal</span> <span>of</span> <span>Radio</span> <span>Frequency</span> <span>Identification</span><span>,</span> <span>vol.</span> <span>1,</span> <span>no.</span> <span>4,</span><br><span>pp. 279–290, 2017</span></p>

Long-term Monitoring of Soil Surface Deformation with RFID

“…• The Harmalière landslide (Sinard, France) is located near Grenoble in the western Pre-Alps, and is a slow moving landslide currently active and investigated by many research projects . The RFID setup, installed in 2020, is described in [12] and consists of 4 reader antennas and 32 tags spread in a 30m by 30m investigated zone. • The Pont-Bourquin landslide is located in the western Pre-Alps near Lausanne in Switzerland.…”

“…Measurement trueness is also sensitive to multipath interference, which is related to terrain topography, system geometry, but also to soil humidity and snow cover. As studied in [12], multipath generates both a measurement bias and a higher random error. On most sites, two tags have been mounted on each stake, at a short distance from one another (about 20-50cm).…”

“…This is a great advantage in an all-seasons long-term monitoring approach. The method has shown robust results in outdoor scenarios [10] with centimetric precision [11], [12].…”

RFID landslide monitoring : long-term outdoor signal processing and phase unwrapping

“…experiments [13]- [21]. In real-life scenarios such as retail environments [2] or outdoor landslide monitoring [1], [22], the acquired data is inevitably noisier and intermittent. At the same time, RFID generally yields abundant and redundant data that can enhance the data from each tag [23], [24].…”

“…With the combined perspectives of long-term RFID measurements and of data redundancy exploitation, RFID landslide monitoring experiments represent unique candidates for providing long-term, real-life noisy and redundant signals. This method has already proven its centimeter-scale accuracy through multiple works [12], [22], [25], [26]. The feedback offered by the past years of monitoring is of great use for understanding real-application scenarios, especially concerning the process of phase unwrapping.…”