Calibration of MEMS Triaxial Accelerometers Based on the Maximum Likelihood Estimation Method

<div>50 Monte Carlo simulation experiments’ <svg height="9.24288pt" id="M90" style="vertical-align:-3.28197pt" version="1.1" viewbox="-0.0498162 -5.96091 10.8123 9.24288" width="10.8123pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M391 364C391 409 353 448 295 448C249 448 198 426 152 393C65 331 23 225 23 139C23 14 96 -12 146 -12C198 -12 280 9 367 101L351 124C300 78 242 48 194 48C129 48 109 107 109 162V191C208 213 391 266 391 364ZM313 350C313 305 268 261 113 223C132 334 187 381 217 398C227 404 244 405 261 405C290 405 313 385 313 350Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,5.317,3.132)"><path d="M196 417V703C139 687 58 673 7 667V636C63 632 68 623 68 566V24C137 -2 188 -12 244 -12C390 -12 504 97 504 243C504 355 418 454 297 454C277 454 261 447 233 434L196 417ZM196 382C211 387 221 389 238 389C301 389 365 339 365 212C365 87 316 27 262 28C230 29 207 59 201 75C198 83 196 94 196 108V382Z"></path></g></svg> change plot.</div>

Mathematical Problems in Engineering

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Figure 6

Figure 6: Calibration of MEMS Triaxial Accelerometers Based on the Maximum Likelihood Estimation Method 