Neural Virtual Sensors for Adaptive Magnetic Localization of Autonomous Dataloggers

<div>Edge detection result based on SVM classification for magnetic synchronization: top strip shows exemplary raw data from complete localization data from 3D-AMR-sensor and 12-bit ADC of <svg height="9.7821pt" id="M127" style="vertical-align:-3.57194pt" version="1.1" viewbox="-0.0498162 -6.21016 7.64704 9.7821" width="7.64704pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.0135,0,0,-0.0135,0,0)"><path d="M538 96L524 119C492 88 454 63 446 63C439 63 434 70 440 101C463 223 491 341 518 448H508L433 422L401 276C355 192 240 56 188 56C163 56 154 89 163 133C184 233 207 338 235 443L230 448L152 424L58 17C40 -60 23 -143 23 -185C23 -241 42 -261 63 -261C92 -261 117 -241 125 -227L124 -221C109 -209 89 -165 89 -103C89 -55 96 -13 105 26H107C121 -3 134 -12 151 -12C172 -12 194 -5 221 16C279 61 330 124 384 194H386C381 159 377 141 368 105C343 3 363 -12 383 -12C416 -12 486 35 538 96Z" id="g113-234"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="555" vert-adv-y="555"></glyph.data></g></svg>C, and bottom strip shows edge detection times of SVM and heuristic method as well as coil switching control signal for the top data.</div>

Advances in Artificial Neural Systems

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Figure 10

Figure 10: Neural Virtual Sensors for Adaptive Magnetic Localization of Autonomous Dataloggers 