Global Systems for Mobile Position Tracking Using Kalman and Lainiotis Filters

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</svg></span></td><td align="center">Model A</td><td align="center">Model B</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">SSKF/SSLF</td><td align="center">44</td><td align="center">20</td></tr><tr><td align="left">FIR SSKF/SSLF</td><td align="center">108</td><td align="center">84</td></tr><tr><td align="left"><span style="width: 9.5625px;"><svg height="12.175" id="M155" style="vertical-align:-2.29482pt" version="1.1" viewbox="0 0 9.5625 12.175" width="9.5625" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg></span></td><td align="center">3</td><td align="center">5</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

FIR results for Example <a href="https://static.hindawi.com/articles/tswj/volume-2014/130512/figures/#ex1">1</a>.

The Scientific World Journal

tab7

Table 7

Table 7: Global Systems for Mobile Position Tracking Using Kalman and Lainiotis Filters 