VB-Based Gaussian Sum Cubature Kalman Filter for Adaptive Estimation of Unknown Delay and Loss Probability

<div>RMSEs of position and velocity of VBGSFDLM when <span class="nowrap"><svg height="11.4586pt" id="M258" style="vertical-align:-2.1507pt" version="1.1" viewbox="-0.0498162 -9.3079 182.956 11.4586" width="182.956pt" 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="M384 393C384 425 346 448 294 448C244 448 200 431 150 399C75 351 23 271 23 176C23 90 52 45 132 19C150 13 166 9 195 2C245 -10 260 -27 260 -55C260 -92 234 -127 218 -145L237 -159C271 -137 333 -93 333 -18C333 43 283 62 228 74C199 80 186 84 172 89C116 109 101 150 101 210C101 318 164 400 241 400C276 400 301 390 327 356C334 347 338 343 346 345C367 349 384 374 384 393Z"></path></g><g transform="matrix(.013,0,0,-0.013,8.924,0)"><path d="M535 323V373H52V323H535ZM535 138V188H52V138H535Z"></path></g><g transform="matrix(.013,0,0,-0.013,20.187,0)"><path d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 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International Journal of Aerospace Engineering

fig9

Figure 9

Figure 9: VB-Based Gaussian Sum Cubature Kalman Filter for Adaptive Estimation of Unknown Delay and Loss Probability 