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

<div>50 Monte Carlo simulation experiments’ <svg height="9.14241pt" id="M89" style="vertical-align:-3.1815pt" version="1.1" viewbox="-0.0498162 -5.96091 11.7897 9.14241" width="11.7897pt" 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="M616 481C611 545 606 633 605 675H580C563 656 549 650 523 650H121C92 650 79 653 64 675H39C37 624 31 551 27 478H64C77 528 89 562 106 579C120 596 138 606 221 606H255V133C255 48 245 42 161 35V0H487V35C399 42 389 48 389 133V606H434C493 606 518 601 536 583S568 531 580 479L616 481Z"></path></g></svg> change plot.</div>

Mathematical Problems in Engineering

fig5

Figure 5

Figure 5: Calibration of MEMS Triaxial Accelerometers Based on the Maximum Likelihood Estimation Method 